Modeling and Control of Methanol Engine Speed with GT-Power and Simulink

Abstract

With a 4-cylinder methanol engine as the research object, GT-Power was used to build a one-dimensional simulation model for the methanol engine and verify its accuracy. The PID and fuzzy PID control models were built based on MATLAB/Simulink, and the methanol engine model was coupled with the control models. The speed control effects of the methanol engine under different control strategies were compared and analyzed. The results showed that traditional PID control method could meet the control requirements under a singular load, but the overshoot of the engine speed step response curve under fuzzy PID control was decreased by about 12% compared with traditional PID controls methods, also showing significantly lower speed fluctuations. When the working conditions of the engine changed, the fuzzy PID control method had better engine speed control performancethe than the traditional PID control method.