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Fuzzy Logic Control with Applications to Mechatronics and Power Electronics

Fuzzy Logic Control with Applications to Mechatronics and Power Electronics. Instructor’s Introduction.

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Fuzzy Logic Control with Applications to Mechatronics and Power Electronics

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  1. Fuzzy Logic Control with Applications to Mechatronics and Power Electronics

  2. Instructor’s Introduction Marcelo Godoy Simoes received the Ph.D. degree in Electrical Engineering from The University of Tennessee, USA, in 1995 and his D. Sc. Degree in Mechanical Engineering from the University of Sao Paulo, Brazil, in 1998. He was a faculty member at The University of Sao Paulo, Brazil where he was involved in organizing undergraduate courses in the Department of Mechatronics, teaching graduate courses in Power Electronics and Drives and also conducting research in applications of intelligent systems. He recently joined Colorado School of Mines; his research interests are power electronics and drives, renewable energy applications and intelligent autonomous systems. He is currently holding the IEEE/PELS Education Committee Chair. His e-mail for contact is : m.g.simoes@ieee.org

  3. Module 1 • Basic Principles of Multivalent Logic • Concepts of Fuzzy Descriptions • Fuzzification • Establishing a Logic Kernel • Operations • Fuzzy Rules

  4. Module 2 • Defuzzification • Where the Fuzzy Rules Come From ? • Fuzzy Control System • Example of a A/C System • Development with Matlab • Fuzzy Controller in Industrial Environment

  5. Module 3 • Takagi-Sugeno Approach • Parametric Fuzzy Controllers • Example of a Power Electronics Problem • Linear Filtering with Parametric Fuzzy Systems • Training P-Fuzzy Algorithms with Matlab • Comparison between Rule Based and Parametric Based Systems

  6. Module 4 • Implementation of Fuzzy Controllers • C-Language • Practice with Matlab/Simulink/FIS • Example of a previous problem with FIS • Interactive Tank System (Supervisory Control) • Fuzzy-PI for DC Machine Control

  7. Module 5 • Use of Fuzzy Logic in Power Electronics • Fuzzy Optimization of a Wind Turbine System • Wind Systems Characteristics • Fuzzy Programming of Generator Speed • Fuzzy Programming of Generator Flux Excitation • Fuzzy Control of Generator Speed Loop • Practical Implementation with DSP

  8. Module 6 • Control Photovoltaic Systems Characteristics • Solar Power Generation Using Fuzzy Control • Practical Implementation with RISC Control • Fuzzy Logic Based DC-Drive • Control SystemPhase Controlled Discontinuous • Operation CompensationFuzzy Logic Based Slip Gain Tuning • List of Related Publications

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