Robust Adaptive Fuzzy Control for a Class of Switching Power Converters

Abstract

This chapter provides the reader with a control-centric modeling and analysis approach along with a nonlinear control design for a class of switching power converters. A comprehensive model combining the respective state variable models of the interval subsystems is established. Comparison with PSpice simulation justifies the credibility of the model. Based on this model, internal/BIBO stability can be studied for each interval subsystem. Moreover, controllability and observability can also be analyzed to help determine subsequent control configuration. The established model is further investigated for advanced control design, i.e., robust adaptive fuzzy control.

Many-Objective Adaptive Fuzzy With Sliding Mode Control for a Class of Switching Power Converters Using Global Optimization

“…A set of elaborate control-oriented state variable models comprising each operation interval were established [40]. The corresponding computational model is established using MATLAB/Simulink.…”

“…Refer to the models established for the ten (including duty cycle loss) operation intervals [40]. Suppose that the extent of time is 1 for completing a cycle of operation (positive and negative half cycles).…”

“…In order to have sophisticated dynamics in the output response for realistic evaluation of the performance metrics defined previously, a sophisticated model is required for the simulation framework. Specifically, the controller is connected with the elaborate computational model [40] (instead of the reduced-order model) in subsequent numerical simulation for analysis of the overall control system. Besides the simulation results having better practicability, this also reduces hardware design effort and saves experiment cost.…”

“…The open-loop system is a phase-shift pulse width modulation (PSPWM) full bridge DC-DC power converter, which is of practical interest due to features such as wide-range voltage output, high efficiency, etc. A comprehensive mathematical and the corresponding numerical model for this converter has been established in [40] and will be adopted in subsequent optimization and simulation. The closed-loop controller is an integration of adaptive fuzzy and sliding mode controls, and possesses advantageous traits from both design paradigms.…”