Control of a Servopneumatic Drive Using a Microcontroller

Abstract

This study involved selecting parameters for a PID controller and a fuzzy logic controller employed to control an electropneumatic servodrive. The fuzzy logic controller was a multiple input single output (MISO) system with two inputs and one output. 25 MacVikar-Whelan rules were the rule base of the fuzzy logic controller. The minimum T-norm and the maximum T-conorm were the implication and aggregation operators, respectively. The defuzzification process was conducted using the center of gravity method (COG). The control algorithms were implemented in a speedgoat hardware and software real time system and a STM32 microcontroller. The performance of the control systems was assessed by comparing the values of the performance criteria. Responses to step and pulse input signals in shift control and ramp and sine input signals in follow-up control were also analyzed. The experimental data show that further research is required on this topic.