The Co-simulation Research Of 4ws Vehicle With Neural Network Controlled Based On Adams And Simulink

As an advanced vehicle active chassis control technology, Four-Wheel-Steering (4WS) is an important branch of active chassis control technologies. It can effectively improve the stability of the vehicle at a high speed, reduce the body side slip angle, body yaw rate and so on. It can also reduce the turning radius and makes you drive easily when the car is running at a law speed.This paper introduces the purpose and significance of four-wheel steering technology research, describes the basic principle and advantage of 4WS technology, analysises the research status and develop trend of 4WS control method. From the simulation point of view, it analysises some existed problems on the 4WS research, as well as the practical significance of using virtual simulation technology. In order to create 4WS model, the dynamics theory and calculate method of multi-system dynamics software MSC.ADAMS are studied. It also introduces some important modules of this software. In the system of ADAMS/Car template, I created a rear steering system by modifying the steering rack of a steering system. I modified the body system so as to connect to the rear steering system. At last I created the 4WS full vehicle model using these two systems and some other necessary systems. Details of neural network and BP neural network are mentioned in the paper. I created a 4WS vehicle model with neural network controlled in Simulink, got necessary data, established the algorithm and parameters of BP neural network, and then trained the network model. At last, I made it successful to control the 4WS vehicle with neural network. The co-simulation based on ADAMS and Matlab is executed successfully. By comparing the curves parameters of yaw rate,side slip angle and some other parameters react to the stability of vehicle at a high speed, I make sure that the 4WS vehicle with neural network controlled has high stability. It makes drive more safely.