Scaled Helicopter Mathematical Model and Hovering Controller

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Scaled Helicopter Mathematical Model and Hovering Controller. Brajtman Michal & Sharabani Yaki Supervisor : Dr. Rotstein Hector. Project Goals. Simulation using Matlab ’ s Simulink. Studying the small scale helicopter ’ s dynamics. Modeling the system. Regulator implementation. - PowerPoint PPT Presentation

Transcript of Scaled Helicopter Mathematical Model and Hovering Controller

Scaled Helicopter Mathematical Scaled Helicopter Mathematical Model and Hovering ControllerModel and Hovering Controller

Brajtman Michal & Sharabani Yaki

Supervisor : Dr. Rotstein Hector

Project GoalsProject Goals

Simulation using Matlab’s Simulink

Studying the small scale helicopter’s dynamicsModeling the system

Regulator implementation

Studying the small scale Studying the small scale helicopter’s dynamics. helicopter’s dynamics.

A universal model is hard to develop

The dynamics of different types ofhelicopters differ

Options for modeling the systemOptions for modeling the system

Downscaling from full size helicopters

Identification by measurements

Decoupling

Helicopter’s ComponentsHelicopter’s Components

Yaw, Pitch and Roll Yaw, Pitch and Roll

Symmetrical AirfoilSymmetrical Airfoil

Coning & Flapping Coning & Flapping

Main Rotor ControlMain Rotor Control

Axes SystemsAxes Systems

Dynamics equations Dynamics equations

cos/)cossin(

sincos

tancostansin

)(

)()(

)(

coscos

cossin

sin

22

rq

rq

rqp

NNqrpqpr

MMrpprq

LLpqqrrp

TZgqupvwm

TYgrupwvm

TXgvrwqum

TAxzxxyyxzxx

TAxzzzxxyy

TAxzyyzzxzxx

Z

Y

X

Mathematical modelMathematical model

Simulink implementationSimulink implementation

12

wb3

11

wb2

10

wb1

9

psy

8

theta

7

phi

6

dz

5

dy

4

dx

3

z

2

y

1

x

s +27.7s+57602

442000

Transfer Fcn

hover_model

S-Function

1973.3

Gain1

-0.178

Gain

f(u)

Fcn3

f(u)

Fcn2

f(u)

Fcn1

f(u)

Fcn

Demux

4

del_psy

3

del_theta

2

del_phi

1

del_o

beta_max

phi

theta

wb1

wb1

wb2

wb2

wb3

wb3

Mpsy

Tt

Mthata

Mphi

Tow_m

T

Results – open loop Results – open loop

Closed loop systemClosed loop system

[Xtrim;0;0] trin condition

K

state space

del_o

del_phi

del_theta

del_psy

x

y

z

dx

dy

dz

phi

theta

psy

wb1

wb2

wb3

l inear model

Step

Scope

Demux

0

0

Closed loop – after tuning Closed loop – after tuning

ConclusionsConclusions

The system and the controller (linear & nonlinear) were verified

A mathematical model was constructed

A full state feedback LQ controller was designed

THE ENDTHE END