PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink at Meripustak

PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

Books from same Author: Liuping Wang, Shan Chai, Dae Yoo, Lu Gan, Ki Ng

Books from same Publisher: Wiley India

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  • General Information  
    Author(s)Liuping Wang, Shan Chai, Dae Yoo, Lu Gan, Ki Ng
    PublisherWiley India
    ISBN9788126574162
    Pages368
    BindingPaperback
    LanguageEnglish
    Publish YearNovember 2018

    Description

    Wiley India PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink by Liuping Wang, Shan Chai, Dae Yoo, Lu Gan, Ki Ng

    PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains sections on closed-loop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the drives and power supplies, and operational constraints are imposed in the design. About the Author Liuping Wang is Professor of Control Engineering at RMIT University, Melbourne, Australia. She has been working on PID control systems and system identification for over 20 years and, together with her research group, Professor Wang has generated the research outcomes that have significantly improved the performance of computer numerical control (CNC) machines, leading to a new understanding of electric motor control and regenerative power supplies. She has published numerous articles on the subject. Shan Chai, Dae Yoo, Lu Gan andKi Ng are PhD students working under the supervision of Professor Wang and are part of the research team that has produced, and is producing, new approaches and new understanding of the electrical motor control and the control of regenerative power supplies. TABLE OF CONTENTS About the Authors Preface Acknowledgment List of Symbols and Acronyms 1 Modeling of AC Drives and Power Converter 1.1 Space Phasor Representation 1.2 Model of Surface Mounted PMSM 1.3 Model of Interior Magnets PMSM 1.4 Per Unit Model and PMSM Parameters 1.5 Modeling of Induction Motor 1.6 Modeling of Power Converter 1.7 Summary 1.8 Further Reading 2 Control of Semiconductor Switches via PWM Technologies 2.1 Topology of IGBT Inverter 2.2 Six-step Operating Mode 2.3 Carrier Based PWM 2.4 Space Vector PWM 2.5 Simulation Study of the Effect of PWM 2.6 Summary 2.7 Further Reading 3 PID Control System Design for Electrical Drives and Power Converters 3.1 Overview of PID Control Systems Using Pole-assignment Design Techniques 3.2 Overview of PID Control of PMSM 3.3 PI Controller Design for Torque Control of PMSM 3.4 Velocity Control of PMSM 3.5 PID Controller Design for Position Control of PMSM 3.6 Overview of PID Control of Induction Motor 3.7 PID Controller Design for Induction Motor 3.8 Overview of PID Control of Power Converter 3.9 PI Current and Voltage Controller Design for Power Converter 3.10 Summary 3.11 Further Reading 4 PID Control System Implementation 4.1 P and PI Controller Implementation in Current Control Systems 4.2 Implementation of Current Controllers for PMSM 4.3 Implementation of Current Controllers for Induction Motors 4.4 Current Controller Implementation for Power Converter 4.5 Implementation of Outer-loop PI Control System 4.6 MATLAB Tutorial on Implementation of PI Controller 4.7 Summary 4.8 Further Reading 5 Tuning PID Control Systems with Experimental Validations 5.1 Sensitivity Functions in Feedback Control Systems 5.2 Tuning Current-loop q-axis Proportional Controller (PMSM) 5.3 Tuning Current-loop PI Controller (PMSM) 5.4 Performance Robustness in Outer-loop Controllers 5.5 Analysis of Time-delay Effects 5.6 Tuning Cascade PI Control Systems for Induction Motor 5.7 Tuning PI Control Systems for Power Converter 5.8 Tuning P Plus PI Controllers for Power Converter 5.9 Robustness of Power Converter Control System Using PI Current Controllers 5.10 Summary 5.11 Further Reading 6 FCS Predictive Control in Reference Frame 6.1 States of IGBT Inverter and the Operational Constraints 6.2 FCS Predictive Control of PMSM 6.3 MATLAB Tutorial on Real-time Implementation of FCS-MPC 6.4 Analysis of FCS-MPC System 6.5 Overview of FCS-MPC with Integral Action 6.6 Derivation of I-FCS Predictive Control Algorithm 6.7 MATLAB Tutorial on Implementation of I-FCS Predictive Controller 6.8 I-FCS Predictive Control of Induction Motor 6.9 I-FCS Predictive Control of Power Converter 6.10 Evaluation of Robustness of I-FCS-MPC via Monte-Carlo Simulations 6.11 Velocity and Position Control of PMSM Using I-FCS-MPC 6.12 Velocity and Position Control of Induction Motor Using I-FCS-MPC 6.13 Summary 6.14 Further Reading 7 FCS Predictive Control in Reference Frame 7.1 FCS Predictive Current Control of PMSM 7.2 Resonant FCS Predictive Current Control 7.3 Resonant FCS Current Control of Induction Motor 7.4 Resonant FCS Predictive Power Converter Control 7.5 Summary 7.6 Further Reading 8 Discrete-time Model Predictive Control (DMPC) of Electrical Drives and Power Converter 8.1 Linear Discrete-time Model for PMSM 8.2 Discrete-time MPC Design with Constraints 8.3 Experimental Evaluation of DMPC of PMSM 8.4 Power Converter Control Using DMPC with Experimental Validation 8.5 Summary 8.6 Further Reading 9 Continuous-time Model Predictive Control (CMPC) of Electrical Drives and Power Converter 9.1 Continuous-time MPC Design 9.2 CMPC with Nonlinear Constraints 9.3 Simulation and Experimental Evaluation of CMPC of Induction Motor 9.4 Continuous-time Model Predictive Control of Power Converter 9.5 Gain Scheduled Predictive Controller 9.6 Experimental Results of Gain Scheduled Predictive Control of Induction Motor 9.7 Summary 9.8 Further Reading 10 MATLAB®/Simulink® Tutorials on Physical Modeling and Test-bed Setup 10.1 Building Embedded Functions for Park-Clarke Transformation 10.2 Building Simulation Model for PMSM 10.3 Building Simulation Model for Induction Motor 10.4 Building Simulation Model for Power Converter 10.5 PMSM Experimental Setup 10.6 Induction Motor Experimental Setup 10.7 Grid Connected Power Converter Experimental Setup 10.8 Summary 10.9 Further Reading References Index