Based On The Platform Of Dynamometer Engine Speed Intelligent Optimization Study Of Pid Controller

Engine is the heart of any power equipment, given that stable and reliable running of an engine depends directly on the performance of its rotating speed controller, research on such controllers is necessary and significant for power equipment and industrial production. A review and analysis on the development of rotating speed controller for engine at home and abroad reveals that with the progress made in control theory and computer technology, electronic controllers running intelligent algorithms have seen its more and more applications in rotating speed regulation of engine.Given that, now in the industry, various performance parameters of engine is mostly measured and adjusted using engine testing and controlling platform.engine-dynamometer system is selected as the hardware platform in our project for the development of rotating speed controller, and NN-based PID controller is designed and optimized following the analysis on control mode of control system for engine rotating speed. Such system is characterized by its double input (desired and actual rotating speed) double output (desired and actual torque) coupling. Neural Network (NN) based PID controller is then designed in this paper, considering that NN has great power in dealing with nonlinearity, good adaptive and self-learning ability, thus can be used to decouple the system. However, the well-decoupled system does not exhibit a satisfying performance in the regulation of rotating speed, further improvement should be made on the controller.Subsequently, a kind of clonal selection algorithm based on particle swarm optimization (PCS A algorithm) is introduced to enhance the performance of NN-based PID controller mentioned above. Considering the relative merits of particle swarm optimization algorithm (PSO) and clonal selection algorithm, the process of finding optimal solution is accelerated, thus increasing converging speed of the algorithm, by updating speed and position of clonal variation with the direction of global optimization formula of PSO. The PCSA algorithm is shown through an example to have a satisfying performance in finding optimal solution.At last, the PCSA algorithm is employed to obtain optimal weights of NN, and three parameters of PID are also determined since mathematical relation exists between the three parameters and NN weights. Simulation indicates that the optimized NN based PID controller has a much better performance, validating the effectiveness of the proposed algorithm. This paper solves the optimization problem of PID rotating speed controller for engine in Engine-dynamometer platform. Simulation and experiments proves the efficiency of all the optimization measures taken that give the expected results.