Liuping Wang

PID and Predictive Control of Electrical Drives and Power Converters using Matlab®/Simulink®: Wang/PID and Predictive Control of Electrical Drives and Power Converters using Matlab®/Simulink®

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. Discretetime model predictive control systems are designed based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft sensors and observers will be discussed for low cost implementation. Resonant control of the electric drives and power supply will be discussed to deal with the problems of bias in sensors and unbalanced three phase AC currents.

FCS Predictive Control in d−q Reference Frame

In this chapter, the finite control set (FCS) predictive current control in the alpha-beta reference frame (or the stationary frame) is investigated. In the alpha-beta reference frame, the current reference signals, current feedback signals and the voltage control signals are sinusoidal signals, which differentiate the current control systems in the alpha-beta reference frame from those in the d-q reference frame. It will be shown in this chapter that the original FCS predictive controllers are single-input and single-output controllers with exceptionally simple forms. In order to track the sinusoidal current reference signals without steady-state errors, FCS predictive controller with resonant characteristic is proposed in the alpha-beta reference frame. Simulation and experimental results are used to demonstrate the efficacy of the resonant FCS predictive current controllers.

FCS Predictive Control in Reference Frame

In this chapter, the finite control set (FCS) predictive current control in the alpha-beta reference frame (or the stationary frame) is investigated. In the alpha-beta reference frame, the current reference signals, current feedback signals and the voltage control signals are sinusoidal signals, which differentiate the current control systems in the alpha-beta reference frame from those in the d-q reference frame. It will be shown in this chapter that the original FCS predictive controllers are single-input and single-output controllers with exceptionally simple forms. In order to track the sinusoidal current reference signals without steady-state errors, FCS predictive controller with resonant characteristic is proposed in the alpha-beta reference frame. Simulation and experimental results are used to demonstrate the efficacy of the resonant FCS predictive current controllers.