STRUKTUR KURIKULUM BIDANG KEAHLIAN TEKNIK …pasca.its.ac.id/dataq/file_content/File/S2 Bidang...

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STRUKTUR KURIKULUM BIDANG KEAHLIAN TEKNIK SISTEM PENGATURAN 2009-2014

No. Kode MK Code

Nama Mata Kuliah (MK) Course Title

sks Credits

SEMESTER I 1 TE. 092254 Teori Sistem Linier

Linear System Theory 3

2 TE. 092266 Informatika Industri Industrial Informatics

3

3 TE. 092203 Instrumentasi Pengaturan Control Instrumentation

2

4 TE. 092221 Sistem Pengaturan Diskrit Discrete Control System

2

Jumlah sks/Total of credits 10 SEMESTER II

1 TE. 092222 Sistem Pengaturan Optimal Optimal Control

3

2 TE. 092204 Identifikasi Sistem, Estimasi dan Prediksi Identification, Estimation and Prediction

3

3 TE. 092090 Riset Laboratorium I Lab Research I

2

4 Mata Kuliah Pilihan Additional optional courses

2

Jumlah sks/Total of credits 10 SEMESTER III

1 TE. 092252 Sistem Pengaturan Cerdas Intelligent Control Systems

3

2 TE. 092091 Riset Laboratorium II Lab Research II

3

Jumlah sks/Total of credits 6 SEMESTER IV

1 TE.092099

Tesis Thesis

6


4

Jumlah sks/Total of credits 10

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MATA KULIAH PILIHAN ADDITIONAL OPTIONAL COURSES

No. Kode MK Code


sks Credits

1 TE. 092240 Dinamika dan Pengaturan Robot Robot Dynamic and Control

2

2 TE. 092267 Sistem Even Diskrit Discrete Event Systems

2

3 TE. 092242 Sistem Pengaturan Robust Robust Control Systems

2

4 TE. 092243 Sistem Pengaturan Berhirarki Hierarchical Control Systems

2

5 TE. 092244 Sistem Pengaturan Adaptif dan Prediktif Adaptive and Predictive Control Systems

2

6 TE. 092245 Pengaturan Mesin Listrik Control of Electric Drive

2

7 TE. 092248 Pengaturan Sistem Tenaga Listrik Control of Electric Energy System

2

8 TE. 092255 Dinamika Sistem Non Linier Nonlinear Dynamic Systems

2

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SILABUS KURIKULUM/COURSE SYLLABUS

MATA KULIAH/ COURSE TITLE

TE – 092254: Teori Sistem Linier TE – 092254: Linear System Theory Sks /Credits: 3 Semester: I

TUJUAN PEMBELAJARAN/ LEARNING OBJECTIVES

Mahasiswa mampu menganalisa sistem linier dan mampu mendisain kontroler untuk sistem linier. The student are able to analyze and design controller for linear system.

KOMPETENSI/ COMPETENCY

� Mahasiswa mampu menganalisa sistem linier waktu kontinyu dan waktu diskrit.

�� Mahasiswa mampu mendisain kontroler untuk sistem linier.

� The student have the ability to analyze the continuous and discrete linear system.

� The student have the ability to design controller for linear system.

POKOK BAHASAN/ SUBJECTS

� Dasar-dasar feedback control dan Review Aljabar Linier

� Analisis sistem dalam bentuk state-space waktu kontinyu

� Analisis sistem dalam bentuk state-space waktu diskrit � Stabilitas, Controllability dan Observability � Relasi antara State-space dan Fungsi Transfer � Disain state-feedback dan output feedback � Disain Observer dan observer state-feedback �� Introduction to feedback control and review of linear

algebra � State-space analysis of continuous linear system � Stability analysis of continuous linear system � The relation between State-space and transfer function � State-feedback and output feedback design � Observer and observer state feedback design

PUSTAKA UTAMA/ MAIN REFERENCES

� Brogan, William.L, Modern Control Theory, 3th Ed, Prentice-Hall International Inc. New Jersey, 1991

� C-T. Chen, Linear System Theory and Design, third edition, Oxford University Press, 1999.

� Kailath, T.: Linear Systems, Prentice Hall New Jersey 1981

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PUSTAKA PENUNJANG/OPTIONAL REFERENCES

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TE – 092266: Informatika Industri TE – 092266: Industrial Informatics Sks /Credits: 3 Semester: I


Mahasiswa mampu menganalisa dan merancang informatika industri. The student are able to analyze and design an industrial informatics.


� Mahasiswa mampu menganalisa informatika industri � Mahasiswa mampu merancang informatika industri � The student are able to analyze an industrial informatics � The student are able to design an industrial informatics


� Konsep dasar informatika industri � Sistem komunikasi data di industri � Sistem berbasis PLC, SCADA dan DCS �� Human Machine Interface � Sistem Informasi di industry � Basic concepts of industrial informatics � Data communication systems in industry � System based on PLC, SCADA and DCS � Human Machine Interface � Information System in Industry


� W.A. Halang, K.M. Sacha. Real-time systems : Implementation of industrial computerised process automation. Ed. World Scientific, 1992.

� T. Boucher, A. Yalcin, Design of Industrial Information Systems, Elsevier, 2006


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TE – 092203: Instrumentasi Pengaturan TE – 092203: Control Instrumentation Sks /Credits: 2 Semester: I


Mahasiswa mampu merancang sistem pengaturan beserta instrumentasi yang diperlukan. The student are able to design a control system completely with control component.


� Mahasiswa mampu merancang sistem pengaturan beserta instrumentasi yang diperlukan sehingga objektif kontrol terpenuhi

� Student have the ability to design the control systems and use the component needed in a control loop


� Pengantar intrumentasi pengaturan � Pengkondisian sinyal analog dan digital � Sensor : level, pressure, weight dan flow � Kontroler dan Elemen kontrol akhir � Komputer dan sistem komunikasi dalam sistem

pengaturan � Introduction of control systems instrumentation � Analog signal conditioning, Digital signal conditioning � Sensors: Temperature, Level, pressure, weight and flow � Controller and final control element � Computers and communication systems for control

systems


� Curtis D. Johnson., Process control instrumentation technology, 7th edition, PHI, New Jersey, 1989.

� Wolfgang Altman, Practical Process Control for Engineers and Technicians, John Elsevier, 2005

� W.L. Luyben, Process Modeling, Simulation and Control for Chemical Engineers, McGraw Hill, 2nd edition, 1990.


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TE – 092221: Sistem Pengaturan Diskrit TE – 092221: Discrete Control System Sks /Credits: 2 Semester: I


Mahasiswa mampu menganalisa dan merancang sistem pengaturan waktu diskrit. The student are able to analyze and design a discrete-time control system.


� Mahasiswa mampu menganalisa sistem pengaturan waktu diskrit

� Mahasiswa mampu merancang sistem pengaturan waktu diskrit

�� The student have the ability to analyze the discrete-time control system.

� The student have the ability to design the discrete-time control system.


� Pengantar sistem waktu diskrit � Pemodelan sistem waktu diskrit � Stabilitas sistem waktu diskrit � Review Disain sistem pengaturan analog � Disain sistem pengaturan waktu diskrit � Representasi state-space waktu diskrit � Disain state-feedback dan output feedback � Persoalan servo dan disain observer state-feedback � Introduction to discrete-time system � Modelling of discrete-time system � Stability analysis of discrete-time system � Review of continuous control system design � Design of discrete time control system � State-space representation of discrete time system � State-feedback and output feedback design � Servo and observer state-feedback design


� Fadali. M. Sam, Diskrit Control Engineering : Analysis and Design, Elsevier Inc.,2009

� Charles L. Phillips and H. Troy Nagle. Diskrit Control System Analysis and Design, third edition, Prentice Hall, 1995.

� K. Ogata, Discrete-Time Control Systems, Second Edition, Englewood Cliffs, NJ: Prentice Hall, 1995, ISBN: 0-13-034281-5.

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TE – 092222: Sistem Pengaturan Optimal TE – 092222: Optimal Control System Sks /Credits: 3 Semester: II


� Mahasiswa mampu medesain sistem pengaturan yang optimal melalui kriteria minimum energi maupun minimum waktu untuk sistem waktu-kontinyu dan waktu-diskrit.

� The student should be able to design optimal control systems via minimum-energy and minimum-time criteria for continuous-time and discrete-time systems.


� Mahasiswa mampu menggunakan konsep kontrol optimal dalam desain sistem kontrol plant nonlinear serta mampu melakukan validasi sistem kontrol hasil desain secara simulasi numerik dan implementasi pada plant riil.

� Mahasiswa mampu membuat simulasi sistem kontrol optimal dengan bantuan Matlab dan Simulink.

� The student should be able to use the concept of optimal control to design a control system of linear plant, and validate the designed control system using numerical simulation and implementation to the real plant.

� The student should be able to build the optimal control system algorithms using Matlab and Simulink.


� Teknik Optimasi ,Variasi kalkulus Hamilton � Linear Quadratic Regulato, Linear Quadratic Tracking � Kontrol optimal berbasis output feedback � State estimator, LQG/LTR � Kontrol optimal waktu-minimum � Aplikasi kontrol optimal pada plant nonlinear � Optimization techniques , Hamilton calculus of variation � Linear Quadratic Regulator, Linear Quadratic Tracking � Optimal control via output feedback � State estimator, LQG/LTR, � Minimum-time optimal control, Robustness design � The application of optimal control to the real plant.

PUSTAKA UTAMA/ MAIN � Anderson,B.D.O., Optimal Control: Linear Quadratic Methods, PHI, New Jersey, 1989.

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REFERENCES � Frank L. Lewis, Vassilis L. Syrmos, Optimal Control, John Wiley & Sons Inc., New York, 1995

� Frank L. Lewis, Applied Optimal Control and Estimation, PHI, New Jersey, 1992.

� Trihastuti Agustinah, Diktat Kuliah RE-1470: Sistem Pengaturan Optimal, Teknik Elektro ITS, 2005.


Paper-paper yang berkaitan dengan persoalan kontrol optimal.

PRASYARAT/PREREQUISITE Teori Sistem Linear Linear System Theory

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TE – 092204: Identifikasi Sistem, Estimasi dan Prediksi

TE – 092204: Identification, Estimation and Prediction

Sks /Credits: 3 Semester: II


Mahasiswa memiliki pengetahuan tentang metode estimasi parameter sistem dan estimasi state, mampu mengikuti perkembangannya melalui publikasi akademis. Students have working knowledge about system identification and state estimation, implement them in computer and able to follow the advance of them.


� Mahasiswa mengetahui dan mampu menjelaskan teori dan aplikasi dan melakukan implementasi identifikasi sistem untuk persoalan praktis.

� Mahasiswa mengetahui dan mampu menjelaskan teori dan aplikasi dan melakukan implementasi estimasi dan prediksi state untuk persoalan praktis.

� Membaca dan menganalisis literatur-literatur mengenai identifikasi sistem, estimasi serta prediksi state.

� The student are able to use the concept of system identification to build model for control system applications.

� The student are able to design Kalman filter to estimate state of a system.

� The student are able to impelement system identification and state estimation using computer.

� The student are able to criticize publication in related topics


� Teori estimasi, Permodelan sistem � Identifikasi sistem, nonparametrik dan parametrik,

Validasi model � Estimasi state dengan filter Kalman � System identification and state estimation concept � System modeling: nonparametric and parametric

system identification in time and frequency domain, model validation

� Wiener filter, Kalman filter, smoothing, extended Kalman filter, distributed state estimation

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� T. Söderstörm, P. Stoica, System Identification, Prentice Hall 1989.

� R.G. Brown, P.Y.C. Hwang, Introduction to Random Signals dan Applied Kalman Filtering, 3rd Ed, John Wiley and Sons, 1997.

� D. Simon, Optimal State Estimation – Kalman, H and Nonlinear Approaches, John Wiley and Sons, 2006.

� J.M. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control, Prentice Hall International, 1995.


� Makalah jurnal dan seminar internasional


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TE – 092090: Riset Laboratorium I TE – 092090: Lab Research I Sks /Credits: 2 Semester: II


Mahasiswa mampu menjelaskan ruang lingkup sistem pengaturan dan mampu mendapatkan topik untuk thesis. The student have understanding of control engineering scope’s and able to find a topic for thesis.


� Mahasiswa miliki kemampuan menjelaskan ruang-lingkup sistem pengaturan.

� Mahasiswa memiliki kemampuan melakukan praktikum sistem pengaturan sederhana.

� Mahasiswa mampu mendapatkan topik untuk thesis. � The student have the ability to explain the control

engineering scope’s. � The student have the ability to apply basic control

practise. � The student are able to find a topic for thesis.


� Pengenalan Laboratorium, Kegiatan Lab 1-4 � Studi Literatur 1-4 � Presentasi 1-4 � Laporan Resume � Lab Activity 1-4 � Presentation 1-4 � Resume Report


� Buku Manual Peralatan Lab � Makalah jurnal dan seminar


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TE – 092252: Sistem Pengaturan Cerdas TE – 092252: Intelligent Control Systems Sks /Credits: 3 Semester: III


Mahasiswa mampu menganalisa dan merancang sistem pengaturan cerdas.


� Mahasiswa mampu menganalisa sistem pengaturan cerdas.

� Mahasiswa mampu merancang sistem pengaturan cerdas.

� The student are able to analyze intelligent control systems.

� The student are able to design intelligent control systems.


� Konsep sistem pengaturan cerdas � Fuzzy logic control � Artificial Neural Network � Genetic Algorithm � Fundamental concepts of intelligent control systems � Fuzzy Logic Control � Artificial Neural Networks � Genetic Algorithms


� Neuro-fuzzy and Soft Computing, by Jang, Sun & Mizutani, Pretice Hall, 1997.

� Goldberg, D. E., Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA, 1989, Chaps. 1 and 4, pp. 77, 106-122.


� Fuzzy Control, Kevin M. Passino and Stephen Yurkovich, Addison-Wesley Longman Inc., 1998.

� Soft Computing and Intelligent Systems Design – Theory, Tools, and Applications, F.O.Karray and C.W.de Silva, Addison-Wesley, 2004.

� Fuzzy Sets and Fuzzy Logic, G.J.Klir and B.Yuan, Prentice-Hall, 1995.

� Adaptive Approximation Based Control, J.A.Farrell and M.M.Polycarpou, Wiley, 2006.

� In Introduction to Fuzzy Sets, by Pedrycz & Gomide, MIT Press, 1998.

� Evolutionary Computation, by Dumitrescu et al., CRC,

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2000.

PRASYARAT/PREREQUISITE � Teori Sistem Linier � Linear System Theory

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TE – 092091: Riset Laboratorium II TE – 092091: Lab Research II Sks /Credits: 3 Semester: III


Mahasiswa mampu membuat proposal thesis. The student are able to write thesis proposal.


� Mahasiswa mampu memahami prosedur melakukan penelitian.

� Mahasiswa mampu memahami metode-metode yang diperlukan dalam penelitian.

� Mahasiswa mampu membuat proposal thesis. � The student have an understanding of research

procedure. � The student have an understanding of research

methodology. � The student have the ability to write a thesis proposal.


� Prosedur penelitiam dan Formulasi permasalahan � Tinjauan Pustaka dan Analisis Persoalan � Metode Pengumpulan dan Analisis Data � Metode Penelitian � Metode Pengambilan Kesimpulan � Metode Penulisan Proposal Thesis � Reseach procedure and Problem Formulation � Collecting and Analysis of Data � Literatur review and problem analysis � Research methodology � Conclusion drawing � Thesis proposal writing


� Makalah, jurnal dan seminar


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TE – 092099 : Tesis TE – 092099 : Thesis Sks /Credits: 6 Semester: IV


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan dalam bidang keilmuan sistem pengaturan, dengan kontribusi ilmiah yang disesuaikan dengan program magister. The student can apply the methods to solve the problems in the field of control engineering that have the contribution related the master program.


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan teknik pengaturan. The Student have the ability to apply the methods for the problem solving in the control engineering.


Disesuaikan dengan tema yang diambil maisng-masing mahasiswa. Depend on the students topics


Pedoman Penyusunan Thesis, Program Pascasarjana ITS, 2006.


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PRASYARAT/PREREQUISITE �� Riset Laboratorium I �� Riset Laboratorium II � Lab Research I � Lab Research II

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TE – 092240: Dinamika dan Pengaturan Robot TE – 092240: Robot Dynamic and Control Sks /Credits: 2 Semester: MK Pilihan


Mahasiswa mampu melakukan analisa kinematika dan dinamika robot. The student are able to analyze robot kinematic and its dynamics.


� Mahasiswa mampu melakukan analisa kinematika robot.

� Mahasiswa mampu melakukan analisa dinamika robot. � Mahasiswa mampu melakukan analisa visual servoing. � The student are able to analyze robot kinematics. � The student are able to analyze robot dynamics. � The student are able to analyze visual servoing.


� Transformasi Koordinat � Kinematika robot � Differential motion � Dinamika robot � Robotic Control � Visual Feedback � Coordinate transformation � Robot kinematics � Differential motion � Robot dynamics � Robotics Control � Visual feedback


� Mark W Spong, M Vibyasagar : Robot Dynamics and Control, John Wiley & Sons, 1989.

� H Asada, JJE Slotine : Robot Analysis and Control, John Wiley & Sons, 1986.

� Fu.K.S. Gon Zalez RoC., Lee CoS.G., Robotics, Control Sensing Vision and Intelligence, McGraw Hill, into Ed., 1987.


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PRASYARAT/PREREQUISITE Teori Sistem Linier Linear System Theory

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TE – 092267: Sistem Even Diskrit TE – 092267: Discrete Event Systems Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa memiliki pengetahuan sistem even diskrit dan aplikasinya. The students have knowledge of discrete event systems and their applications.


Mahasiswa memahami konsep sistem even diskrit dan mampu memodelkan, menganalisa dan mengatur sistem even diskrit dalam representasi Language, Automata, Petri Net, Dioid Algebra, dan Logika. The students understood the discrete event systems concept, and able to modeling, analyze, and control of discrete event systems in represented Language, Automata, Petri Net, Dioid Algebra, and Logical.


� Konsep Sistem Even Diskrit � Model-model Sistem Even Diskrit � Analisa Sistem Even Diskrit � Pengaturan Supervisori Sistem Even Diskrit � Analisa sensitivitas dan estimasi concurrent � Discrete event systems concept � Discrete event systems models � Discrete event systems analyze � Discrete event systems supervisory control � Sensitivity analyze and concurrent estimation


� C. G. Cassandras and S. Lafortune, Introduction to Discrete Event Systems, 2nd Edition, Springer, 2008

� Kumar Ratnesh, Vijay K. Garg : Modelling and Control of Logical Discrete Event Systems , Kluwer Academic Publishers,1995.


�� Some papers about discrete event systems from IEEE Journal

�� E. M. Clarke, Jr., O. Grumberg and D. A. Peled, Model Checking, The MIT Press,1999

PRASYARAT/PREREQUISITE Teori Sistem Linier Linear System Theory

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TE – 092242: Sistem Pengaturan Robust TE – 092242: Robust Control Systems Sks /Credits: 2 Semester: MK Pilihan


Mahasiswa mampu melakukan analisa dan perancangan sistem pengaturan robust. Student able to analyze and design an robust control system.


� Mahasiswa mampu melakukan analisa sistem pengaturan robust.

� Mahasiswa mampu melakukan perancangan sistem pengaturan robust.

� The student are able to analyze an robust control systems.

� The student are able to design an robust control systems.


� Norm Sinyal dan Sistem � Robust Stability dan Robust Performance � Mixed Sensitivity Problem � μ Analysis and synthesis � System and Signal Norm � Robust Stability and Robust Performance � Mixed Sensitivity Problem � μ Analysis and synthesis


� Doyle, Francis, Tannenbaum, Feedback Control Theory ,Macmillan Publishing, 1990 .

� Zhou K., with J. Doyle, Essentials of Robust Control, Prentice Hall, 1998.

� Skogestad S. and I. Postlethwaite Multivariable Feedback Control, John Wiley & Sons, 1996.

� G.E. Dullerud and F. Paganini, A course in Robust Control Theory: A convex Approach , Springer Verlag, 1991.

� Francis B. A Course in H-infinity Control Theory, Lecture Notes in Control and Information Sciences, Vol. 88, 1987.


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PRASYARAT/PREREQUISITE � Sistem Pengaturan Optimal � Optimal Control

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TE – 092243: Sistem Pengaturan Berhirarki TE – 092243: Hierarchical Control Systems Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu melakukan analisis dan disain sistem pengaturan berhirarki. The student are able to analyze and design the hierarchical control system.


� Mahasiswa mampu melakukan analisis sistem pengaturan berhirarki.

� Mahasiswa mampu merancang sistem pengaturan berhirarki.

� The student have the ability to analyze the hierarchical control system.

� The student have the ability to design the hierarchical control system.


� Konsep pengaturan berhirarki � Sifat-sifat struktural sistem berhirarki � Transformasi Model � Pengaturan Desentralisasi � Pengaturan Sentralisasi � Introduction to hierarchical control system. � Stuctural properties of the hierarchical control � Model transformation � Decentralized Control of the hierarchical control system � Centralized Control of the hierarchical control system


� Lunze: Feedback Control of Large Scale System, Prentice-Hall, 1991

� Jamzidie, M: Large Scale Sys.: Modelling, Control and Fuzzy Logic, Prentice-Hall, 1997


� Makalah jurnal dan seminar internasional

PRASYARAT/PREREQUISITE � Sistem Pengaturan Optimal � Optimal Control

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TE – 092244: Sistem Pengaturan Adaptif dan Prediktif TE – 092244: Adaptive and Predictive Control Systems Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu menganalisa dan merancang sistem pengaturan adaptif dan prediktif. The student are able to analyze and design the adaptive and predictive control system.


� Mahasiswa mampu menganalisa sistem pengaturan adaptif dan prediktif.

� Mahasiswa mampu merancang sistem pengaturan adaptif dan prediktif.

� The student have the ability to analyze the adaptive and predictive control system.

� The student have the ability to design the adaptive and predictive control system.


� Konsep sistem pengaturan adaptif � Sistem Pengaturan adaptif Direct-Indirect � Sistem Pengaturan adaptif MRAC � Sistem Pengaturan adaptif Self-Tuning � Konsep Model Predictive Control (MPC) � Elemen-elemen dan Algoritma MPC � Generalisasi Predictive Control (GPC) � Introduction to adaptive control � Direct and indirect adaptive control � Model Refference Adaptive (MRA) Control � Self Tuning Adaptive Control � Model Based Predictive Control (MPC) � Elemens and Algorithms of MPC � Generalized Predictive Control


� Astrom, KJ and Wittenmark, B.: Adaptive Control, Addison-Wesley, 1997

� Landau, ID,: System Identification and Control Design, Prentice-Hall, 1990

� Camacho, Eduardo F. And Bordons Carlos,: Model Predictive Control”, Springer-Verlag, London, 1999.

� Mosca, Edoardo,Optimal, Predictive dan Adaptive Control

PUSTAKA � Sastry, S. and Bodson,M: Adaptive Control Stabliity, Convergence and Robustness, Prentice-Hall Advanced

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PENUNJANG/OPTIONAL REFERENCES

Reference Series, 1989


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TE – 092245: Pengaturan Mesin Listrik TE – 092245: Control of Electric Drives Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu menjelaskan cara kerja motor drive dan mampu merancang kontroler untuk motor drive. The student are able to explain the basic principle of motor driver and able to design the controller for motor drive.


� Mahasiswa mampu menjelaskan cara kerja motor drive. � Mahasiswa mampu merancang kontroler untuk motor

drive. � The student have the ability to explain the basic

principle of motor drives . � The student have the ability to design the controller for

motor drives.


� Dinamika motor dc � Pengaturan motor dc � Dinamika motor induksi � Pengaturan motor induksi � Pengaturan motor sinkron � DC Motor Dynamic � DC Motor Control � Induction Motor Dynamics � Induction Motor Control � Synchronous Motor Control

PUSTAKA UTAMA/MAIN REFERENCES

� DUBEY, Gopal K : Power Semiconductor Controlled Drives, Prentice Hall, Inc., 1989

� Subrahmanyam, Vedam : Electric Drives Concepts & Applications, McGraw-Hill, 1996.


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PRASYARAT/PREREQUISITE � Teori Sistem Linear � Linear System Theory

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TE – 092248: Pengaturan Sistem Tenaga Listrik TE – 092248: Control of Electric Energy System Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu menjelaskan pemodelan, pengaturan dan analisa stabilitas sistem tenaga listrik. The student are able to explain the modelling, control and stability of the electric energy system.


� Mahasiswa mampu melakukan pemodelan sistem tenaga listrik.

� Mahasiswa mampu menjelaskan metode pengaturan sistem tenaga listrik.

� Mahasiswa mampu melakukan analisa stabilitas sistem tenaga listrik.

� The student have the ability to construct the model of electric energy system.

� The student have the ability to explain the controlling mehods of electric energy system.

� The student have the ability to analyze the stability of electric energy system.


� Definisi dan konsep stabilitas sistem elektrik. � Mesin Sinkron : permodelan, analisa steady-state dan

transien. � Komponen Sistem : saluran dan trafo. Transfer Daya

antara Sumber Aktif, Analisa Aliran Daya,Model Beban Sistem, Sistem Eksitasi, Permodelan Sistem Eksitasi, Model Pembangkit Hydro.

� Model Pembangkit Thermal, Pengaturan Daya Aktif, Pengaturan Daya Reaktif, Stabilitas Small Signal, Analisa Stabilitas Transient dan Solusi

� Introduction to stability of electric system � Synchronous machines: modelling, steady-state and

trnsient analysis � System compones : Trasmission and trasformator,

Power Flow Analysis, Modelling of Exitation System � Modelling, Control and Stability of Thermal Generator


� KUNDUR, Prabha : Power System Stability and Control, EPRI, McGraw-Hill, 1994

� ELGERD, Olle I. : Electric Energy`SystemTheory : An Introduction, McGraw-Hill, 1971

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TE – 092255: Dinamika Sistem Non Linier TE – 092255: Nonlinear Dynamic Systems Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu melakukan analisa dinamika sistem non linier. The student are able to analyze and synthesize nonlinear dynamical systems.


� Mahasiswa mampu melakukan analisa sistem pengaturan non linier.

� Mahasiswa mampu melakukan sintesa sistem pengaturan non linier.

� The student are able to analyze nonlinear control systems.

� The student are able to synthesize nonlinear control systems.


� Perbandingan system linier dan non linier � Norm Vektor dan Sistem � Eksistensi dan uniqueness penyelesaian � Stabilitas Lyapunov dan daerah kestabilannya � Input to state stability dan Input to output stability � Passivity � Sliding Mode Control � Backstepping � Perbandingan system linier dan non linier � System and Vector Norm � Solution Existence and uniqueness � Lyapunov Stability and its stability region � Input to state stability, and Input to output stability � Passivity � Sliding Mode Control � Backstepping


� S. S. Sastry. Nonlinear Systems: Analysis, Stability, and Control. Springer-Verlag, 1999.

� Isidori. Nonlinear Control Systems, 3rd Edition. Springer, 1995.

� M. Vidyasagar. Nonlinear Systems Analysis, 2nd Edition. Prentice-Hall, 1993.

� H. K. Khalil. Nonlinear Systems, 3rd Edition. Prentice-Hall, 2002.

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STRUKTUR KURIKULUM BIDANG KEAHLIAN TEKNIK SISTEM PENGATURAN

KONSENTRASI MEKATRONIKA 2009-2014

No. Kode MK Code


sks Credits

SEMESTER I 1 TE. 092203 Instrumentasi Pengaturan

Control Instrumentation 2

2 TE. 092205 Pemrosesan Sinyal Digital Digital Signal Processing

2

3 TE. 092207 Perancangan Komponen Mekanik Design of Mechanical Components

3

4 TE. 092241 Sistem Elektronika Industri Industrial Electronic Systems

3

Jumlah sks/Total of credits 10 SEMESTER II

1 TE. 092090 Riset Laboratorium I Research Laboratory I

2

2 TE. 092223 Robotika Robotics

3

3 TE. 092224 Sistem Kontrol Dengan Komputer Computer Controlled System

3

4 TE. 092225 Otomasi Industri Industrial Automation

2

Jumlah sks/Total of credits 10 SEMESTER III

1 TE. 092091 Riset Laboratorium II Research Laboratory II

2


8

Pilihan 1 (2 sks) Pilihan 2 (2 sks) Pilihan 3 (2 sks) Pilihan 4 (2 sks) Jumlah sks/Total of credits 10

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SEMESTER IV 1 TE.092099

Tesis Thesis

6

Jumlah sks/Total of credits 10 MATA KULIAH PILIHAN ADDITIONAL OPTIONAL COURSES

No. Kode MK Code


sks Credits

1 TE. 092242 Topik Khusus Rekayasa Elektronika Industri Industrial Electronic Engineering Special Topics

2

2 TE. 092246 Sistem Kontrol Cerdas Intelligent Control System

2

3 TE. 092247 Sistem Kontrol Pneumatik & Hidrolik Pneumatic & Hydraulic Control System

2

4 TE. 092249 Sistem Kontrol Non Linier Non Linear Control System

2

5 TE. 092250 Sistem Kontrol Lanjut Advanced Control Systems

2

6 TE. 092267 Sistem Even Diskrit Discrete Event Systems

2

7 TE. 092270 Disain Sistem Kontrol Elektronika Electronic Control System Design

2

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