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Nonlinear motion model of HEV electronic throttle is built. Aiming at the problem that is difficult to set the nonlinear control system optimum parameters for the traditional PID control, and based on the advantages of the fast convergence and strong universal approximation ability of the neural network, the method neural network setting PID control electronic throttle based on the Radial Basis Function...
Anti-Lock Braking System (ABS) has become a standard configuration for vehicles. We created a virtual environment to approximate the external conditions by using ABS dynamic simulation test stand to test the performance of ABS. Measurement and analysis of the test stand are two important issues for ensuring the high quality of ABS. In this paper, an automatic measurement and examination platform based...
Fatal traffic accidents are related with the overlength braking distance and sideslip when the automobile is braked in an emergency. It is very important to study and improve the braking ability of the automobile. The anti-lock braking system (ABS) is the active method of increasing the braking ability. The ABS controller is the key to ABS. The modeling and simulation of the automobile braking system...
It is more and more popular to use electromagnetism clutch on mini-cars, for its unique structure and simple controlling. But the drive of the electromagnetism clutch has some nonlinearity, and there is interference around it, so the traditional PID control strategy couldn't work at its best. The single neuron self-adaptive PID controller using on-line identification of radial basis function Neural...
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