基于发动机平均值模型的控制仿真

针对发动机平均值模型进行控制仿真以验证所设计的控制策略对发动机控制的有效性，首先在MATLAB／Simulink中建立发动机的平均值模型，其次分别建立PID控制器和模糊PID控制器对发动机平均值模型进行控制仿真，最后对两种控制器的仿真结果进行比较分析。通过最后的仿真结果可以看出两种控制器都可以稳定控制发动机模型，但模糊PID控制器具有更好的控制效果。发动机是一个非线性、时滞的动力学系统，而模糊控制不需要了解被控对象的特性，故它能精确控制发动机模型。

Engine based on the mean value model of the control simulation

Control and simulate the mean value model of gasoline engine to verify the effective of the control strategy to the engine control. First of all, use the Matlab/Simulink tools to establish the mean value model of gasoline engine. Followed by the establishment of PID controller and fuzzy PID controller for the engine to control the average model simulation.. Finally, compare the simulation results of the two controllers. From the last simulation results could see that both of the two controllers can stability control the engine model, but the fuzzy PID controller has better control effect. Engine is a non-linear,time-delay dynamical systems, and fuzzy control does not need to understand the characteristics of the object, so it can accurately control the engine model.