Research On Diesel Engine Speed Control Technology Based On BP Neural Networks

Traditional PID control method is generally applied in the diesel engine speed regulation system today. Since the diesel engine with the characteristics of typical time varying and nonlinear, the traditional PID controller is unable to correct control parameters online in real time. As a result, those controllers fail to achieve optimal control for diesel engine in real time.Hence, in this paper, the neural network theory which with the ability to study online was introduced into the classical PID control strategy to improve the adaptive capability of electronic speed control system.Firstly, the design process of the BP neural network PID controller which with online self-regulation is explained. Then offline simulation researches for this algorithm are executed by building controller model, diesel model and actuator model under the MATLAB/Simulink condition. Finally, a semi physical simulation test platform is setted up, which based on HERNZMANN simulation test system. On the test bench, experiments for the designed BP neural network PID controller are performed to verify the proposed control scheme. As the offline and semi physical simulation result shown, the control effect for BP neural network PID controller is better than the traditional PID controller.