Diesel Engine Electronic Control System Online Self-tuning PID Technology Research

In Diesel engine becoming the mainstream power plant today, it is inevitable torequire a batter performance, the development of quality control strategy has becomethe core of improving the diesel engine’s governor performance. PID control hasquickly risen to be one of the most central control, but in Diesel engine speed controlsystem there is a nonlinear, time-varying and complex environmental characteristics,traditional PID has been difficult to adapt. Therefore, in today’s increasingly stringentdiesel engine of economic performance requirements, electrical control speed controltechnology as one of the means to improve diesel engine performance become moreimportant. PID control technology has been widely applied in various fields, but mostof the PID control algorithm for linear systems adapt random and nonlinear capacityis relatively poor. In Diesel PID control, due to the complex structure of the dieselengine’s characteristics, it show the nonlinear, time-varying characteristics ofuncertainty frequently, it is difficult to described by an exact transfer function orequation described. It is powerless for the mutations transient characteristics as wellas outside the work environment sudden change of the traditional PID. The researchon nonlinear control systems in the country is relatively small, Based on previousresearch experience, design the diesel engine nonlinear control strategy, use theautomatic control algorithm to achieve the previous expert manually adjusting PIDcontrol thinking, efforts to changethe traditional PID’s nonlinear robustnessshortcomings, and at the same time to ensure the convergence of the control algorithm,the adaptability of its low threshold to achieve speed control in different dieselsystem.This paper analyzing the relationship between of PID control and the variousparameters of diesel engine, using matlab/simulink as the pre-simulation softwarefor experimental verification,then,set up the diesel semi-physical simulation model forcontrol and analysis used. While combining the traditional PID control and expertintelligent control, sorted out the control law by studying the mathematicalrelationship between the actual diesel engine data and control parameters in order toachieve optimization of online self-tuning. Finally, use the HEINZMANN dieselsemi-physical simulation as the basis of the experimental platform semi-simulationenvironment to verify the practicality of the control law.Experimental data to verify the batter superiority of non-model-based parameter control expert intelligent self-tuning than traditional PID tuning, and laid a solidfoundation for the practical application of the algorithm in the future.