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Introduction to Microcontroller Programming for Power Electronics Control Applications - Coding with MATLAB® and Simulink®... Introduction to Microcontroller Programming for Power Electronics Control Applications - Coding with MATLAB® and Simulink® (Paperback)
Mattia Rossi, Nicola Toscani, Marco Mauri, Francesco Castelli Dezza
R1,575 Discovery Miles 15 750 Ships in 12 - 19 working days

develops key concepts from scratch, including a brief review of control theory and modeling strategies for power electronic-based systems focuses on the LaunchPadTM F28069M board from Texas InstrumentsTM to provide the reader some basic programming strategies proposes several control problems in terms of power management of RL and RLC loads (e.g. DC-DC converters) and closed-loop control of DC motors examines control schemes as well as the working principles of power converter topologies needed to drive the systems under investigation includes exercises while presenting a processor-in-the loop (PIL) technique to emulate the dynamics of complex systems

Introduction to Microcontroller Programming for Power Electronics Control Applications - Coding with MATLAB (R) and Simulink... Introduction to Microcontroller Programming for Power Electronics Control Applications - Coding with MATLAB (R) and Simulink (R) (Hardcover)
Mattia Rossi, Nicola Toscani, Marco Mauri, Francesco Castelli Dezza
R3,611 Discovery Miles 36 110 Ships in 12 - 19 working days

develops key concepts from scratch, including a brief review of control theory and modeling strategies for power electronic-based systems focuses on the LaunchPadTM F28069M board from Texas InstrumentsTM to provide the reader some basic programming strategies proposes several control problems in terms of power management of RL and RLC loads (e.g. DC-DC converters) and closed-loop control of DC motors examines control schemes as well as the working principles of power converter topologies needed to drive the systems under investigation includes exercises while presenting a processor-in-the loop (PIL) technique to emulate the dynamics of complex systems

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