Improved control system for dual input-dual output DC-DC converter : a thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, Massey University, School of Engineering and Advanced Technology
This thesis aims to propose a new control system of dual input dual output DC-DC
converter by proposing the advanced fuzzy PID control system. The fuzzy PID
controller is a type of intelligent control system being practically applying fuzzy
logic theory. Compared with conventional control system, a properly designed
fuzzy PID control system is more accurate, sensitive to input, robust to noise, large
bandwidth, faster speed and constant oscillation. Therefore, the analysis of
improved control system for dual input dual output DC-DC converter, comparison
with conventional PID controller, and evaluation are the main focus of this thesis.
The improved control system for dual input dual output DC-DC converter is based
on the PID control method and fuzzy logic theory. By the combination of
conventional PID controller and fuzzy control theory, the advanced controller with
human intelligence is produced. Fuzzy PID control method uses the present error
E and EC , combined with the dynamic characteristics of controlled object and
practical experience. According to the requirements and target functions, three
parameters of PID controller are tuned online by fuzzy rules inference.
Simulation using MATLAB and SIMULINK and implementation with STM32f407
are presented. The optimization of improved control system for dual input dual
output DC-DC converter is also studied.