Research On Speed Control Of Diesel Engine With Fuzzy Internal Model PID Control Theory

The electronic governor is a core component of the diesel engine.It is the main technical means to improve the speed performance of the diesel engine.It controls the fuel injection quantity of the fuel injection pump by controlling the electromagnetic actuator,and then controls the diesel engine speed.At present,most of the strategy of speed controlling is to adopt the double closed-loop control scheme of position loop and speed loop.The common strategy is that the double closed-loop adopting conventional PID control.Conventional PID control has many advantages,such as its simple principle,its easier of using,strong adaptability,strong robustness,and its controlling quality is not sensitive to the change of the controlled object.therefore it is very suitable for the harsh industrial production site.And its another advantage is that it has a strong reliability and Cost-effective.Although this method is simple and effective,it also has flaw.Traditional PID is a linear controlling system.When it is a linear system or small nonlinear system,the controller can achieve the desired effect.However to diesel system,such as nonlinear or time-varying system,when the speed and load changes,the diesel engine System parameters will get a great change,then the best parameters of PID controller will also change,so the different parameters of PID on different conditions,making the PID controller has a poor adaptability on nonlinear system.And even if the three parameters Kp,Ki,Kd of PID controller get a slight change,it will cause overshoot and stability of the irregular changes.if there is no enough experience of regulation,it will be difficult to grasp the direction of the adjustment on parameters,Leading to difficulty in regulation.And there is a complex coupling among the three parameters,which make it more possible to lead the combination of the obtained parameters falling into the partial best solution.IMC-PID contoller based on Internal model control principle has an advantage of adjusting easily,it just need to adjust only a parameter to achieve the purpose,not need too much to consider Kp,Ki,Kd three parameters amony the coupling,and the adjustment is simple and fast.When the internal control method of fuzzy internal model fuzzy control with fuzzy control is introduced to improve the traditional PID control,it has make up the shortcomings of dynamic and steady state adaptability,which improves the traditional PID control method insufficient.Because of its simple design and strong practicality,the internal model controll has been widely concerned in the field of industrial control,which has excellent robustness and simple and convenient parameter setting.Therefore,the internal model control has become one of the most important factor in the field of modern industrial control.In this paper,an engine speed control scheme based on fuzzy internal model PID control algorithm is proposed,and the theoretical derivation,simulation analysis and experimental study are carried out.The fuzzy internal model PID controller is compared with the traditional PID controller and the internal model PID controller.It is proved that the fuzzy internal model PID algorithm has better control effect than the PID control algorithm;and the control vector ET automatic code generation tool is used to build Speed control strategy model,compilling and generateing C code program which can run on MPC5554 single chip computer,?With the help of it,this paper completes the engine speed control strategy verification based on fuzzy internal model PID control algorithm on Cummins common rail engine test bench.