混合动力汽车电子节气门的模糊自适应PID控制

Fuzzy Adaptive PID Control for Electronic Throttle Applied in Hybrid Power Automotive

针对传统PID控制对非线性控制系统难以设置最佳PID参数和模糊控制难以消除静差的问题,建立了混合动力汽车电子节气门非线性运动模型,提出应用模糊自适应PID控制算法对电子节气门的目标位置进行跟踪控制.实验结果显示,应用模糊自适应PID控制算法对模型的非线性具有较好的适应性,在控制中跟踪误差小于传统PID控制,具有较好的跟踪效果.

The non-linear dynamic model of electronic throttle applied in hybrid power automotive is established firstly. Aiming at the problem that conventional PID algorithm is not effective enough for non-linear control system and fuzzy control algorithm can not eliminate static error, a fuzzy adaptive PID algorithm is put forward for target position tracking control of electronic throttle. The experiment results show that the fuzzy adaptive PID algorithm has better adaptability and lower potion tracking error than common PID control and the control effect is satisfying.