Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham,...

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Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad Técnica Federico Santa María Department of Electronics Engineering Valparaíso, Chile. e-mail: [email protected]

Transcript of Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham,...

Page 1: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

Predictive Control in Matrix Converters

Marie Curie ECON2 Summer SchoolUniversity of Nottingham, England

July 9-11, 2008

Marco Esteban Rivera Abarca

Universidad Técnica Federico Santa MaríaDepartment of Electronics Engineering

Valparaíso, Chile.

e-mail: [email protected]

Page 2: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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1. Introduction

2. Power Circuit and Basic Concepts

3. Control Strategy: Predictive Direct Torque Control (PDTC)

4. Models used to Obtain Predictions

4.1 Matrix Converter

4.2 Induction Machine

4.3 Input Filter

5. Results

6. Improvements

7. Future Work

8. Conclusion

Outline

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Ready for the next

Page 3: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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Introduction

Matrix Converter is a single-stage power converter and

represents an alternative to back-to-back converters in cases

where size and the absence of large capacitors or inductances

are relevant issues.

Model Predictive Control has been used in applications

related to power converters, generally with modulation

techniques. In this work is presented a control strategy to

control input PF, torque and flux on an IM, based on Predictive

Control: without linear controllers without hysteresis without modulators (PWM)

Ready for the next

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Page 4: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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Power Circuit and Basic Concepts

Matrix Converter

Input Filter

Load : Induction MachineReady for the next

Bidirectional Switch

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

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Control Strategy: Predictive Direct Torque Control (PDTC)

An intuitive approach

Ready for the next

PowerSupply

MatrixConverter

InductionMachine

SwitchingState (k)

DigitalController

Time (k+1) Time (k+1)

Time (k+1)

Time (k+1)

Time (k+1)

Time (k+1)Time (k+1)

SwitchingState (k+1)

Time (k+1)

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

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Block diagram of the Predictive strategy

Measurements are acquired.

1Predictions of Flux and Torque are computed for each of the 27 switching states by means of a model.

2

The torque reference is generated by a PI controller.

3

The reactive input power is also predicted for each state.

2

A quality function g is evaluated for each prediction.

4

Ready for the next

Control Strategy: Predictive Direct Torque Control (PDTC)

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

The switching state that minimizes g is selected to be applied during the next sampling interval.

5

Page 7: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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Control Strategy: Predictive Torque Control (PTC)

Quality Function g : The Evaluation Criterion

Must reflect the desired objectives, in order to determine the best state.

Considering both objectives (adding):

Objectives related to the load:

Minimize the error on the electric torque and flux magnitude.

Objectives related to input variables:

Controllable input Power Factor (most cases unity PF, no reactive power).

The versatility of the method allows to include other objectivessimply by adding terms to the quality function. Ready for the next

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

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Models

Input Filter

Matrix Converter

Induction Machine

Ready for the next

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Page 9: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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Models

Input Filter

Matrix Converter

Induction Machine

Ready for the next

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Page 10: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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Simulation Results

Parameters

B=0 No PF or reactive input power control.

Quality Function:

B=0 No PF or reactive input power control.

High distortion in the input current. THD=68.5%

Low ripple and fast dynamic response.

Sinusoidal output currents, smooth freq. transition.

B=146·10-6 Controlled PF/reactive input power.

Low distortion in the input current. THD=4.7%. PF=1.

Practically identical output variables

B=146·10-6 Controlled PF or reactive input power.

Ready for the next

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

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Improvements

Ready for the next

How to reduce the processing

time?

What happens when I don´t have a correct model of

the load?

Perfect Prediction?

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

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Improvements

Improve the code of the algorithm.

Ready for the next

Other techniques of predictive control like DMC and GPC.

High computational cost.

Improve the predictive models:

- Kalman Filter to flux estimator.

- Load parameters estimation using LS and RLS methods.

- Correction of Input Currents: Study Input Filter.

- Correction of Input Currents: AC Supply Unbalanced.

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

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00.2

0.40.6

0.8

-2

-1

0

1

2-1.5

-1

-0.5

0

0.5

1

1.5

00.2

0.40.6

0.8

-2

-1

0

1

2-1.5

-1

-0.5

0

0.5

1

1.5

Kalman Filter in flux estimator

Stator Flux [Wb]

Rotor Flux [Wb]

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Improvements

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Load parameters estimation using LS and RLS methods

Load Parameters

Real & Estimated Signal

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Improvements

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Correction of Input Currents: Study Input Filter

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Improvements

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Correction of Input Currents in presence of unbalances

Minimization negative sequence of input currents.

To generate a reference of input currents.

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Improvements

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Future Work

Experimental Implementation Predictive DTC.

Experimental Implementation of Improvements studied in

UCC.

Publications of results respective.

Experimental Strategy using an Indirect Matrix Converter.

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

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Conclusion

Simple and effective control for a matrix converter based

induction motor drive.

Controls together input and output variables (PF and motor).

Discrete-time switching - semiconductors switch only at

predefined and equidistant instants (No PWM).

This discrete approach match with the discrete nature of the

matrix converter’s switching states and digital control platforms.

The versatility of the method allows to include additional

objectives. The topic is still open for research.

Outline

Introduction

Power Circuit

Control Strategy: PDTC

Models

Results

Improvements

Future Work

Conclusion

Page 19: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

I appreciate your attention

Marco Rivera e-mail: [email protected]

Page 20: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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Selection of the Weighting Factors

Outline

Introduction

Power Circuit

Control Strategy: PTC

Models

Results

Benefits?

Conclusion

Extra

Ready for the next

PF Control

Page 21: Predictive Control in Matrix Converters Marie Curie ECON2 Summer School University of Nottingham, England July 9-11, 2008 Marco Esteban Rivera Abarca Universidad.

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Selection of the Weighting Factors

Outline

Introduction

Power Circuit

Control Strategy: PTC

Models

Results

Benefits?

Conclusion

Extra

A

Reactive Power

Torque Error

A Flux Error

A

High value Low value

Always B=11

Ready for the next