Fuzzy-PID Speed Control of Diesel Engine Based on Load Estimation

In order to improve the anti-disturbance performance of engine-load and the effect on speed control for the diesel engine, the paper presents the fuzzy-PID speed control strategy in the architecture of torque-based control. The engine-load estimation algorithm is designed based on the mean-value-model and crankshaft dynamics model, and the estimation precision is validated by engine test in both steady and dynamic conditions. Through the experiment verification of the diesel engine, the fuzzy-PID control strategy based on load estimation can significantly improve the anti-disturbance performance of engine-load in the speed control. Through the vehicle-simulation in the acceleration deceleration condition and the circle condition, this paper verifies that the fuzzy-PID control strategy based on load estimation can keep the rapid adjustment of engine-speed control and the good pedal-speed following performance; this method can also avoid repeated calibration of control parameters and reduce the occurrence of the unexpected shift.