Research On The Control System Of Vehicle Chassis Dynamometer Based On The Single Nerve Cell Self-adaptive PID

Vehicle chassis dynamometer is an important equipment used to measure the performance of vehicle. the detection and control system and the software platform for the first domestic vehicle chassis dynamometer developed by Shandong University of Technology have been improved based on previous experience and large amount of reference.Firstly, in the paper, the configurations and working principle of the vehicle chassis dynamometer are introduced simply together with neural network theory foundation and studying algorithm of the single nerve cell self-adaptive PID. The single nerve cell self-adaptive PID controller is introduced to improve the process of simulating the real situation in the lab as vehicle run on the different roads after such more problem as nonlinear, steady state error and swing presented in the test and the character of this detection and control system was analyzed. The simulation research on the single nerve cell self-adaptive PID algorithm has been carried out. At last, we compared the data gained from road with that from vehicle chassis dynamometer, then we got that the controller together with simple at configuration is easy to be realized and adaptive. The single nerve cell self-adaptive PID controller suitable for this system was designed. Exact sample is achieved by using visual basic programming language.The testing data on this dynamometer of CA1026LF truck and the analysis of results have been presented in the end. The results show that the dynamic and steady behavior and the measurement accuracy have been advanced as the single nerve cell self-adaptive PID controller was introduced. It is proved that the single nerve cell self-adaptive PID controller works well in this control system.