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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...
Since the start process for control system of electric forklift has the characters of nonlinearity and fast time-variety, and routine PID method is difficult to satisfy the nonlinear and variable request. So this paper applied a control strategy based on radial basis function neural network, RBFNN PID, to control the motor through closed-loop control, in order to compensate the perturbation, nonlinearity...
While automotive start, there are some problems during clutch jointing control, such as nonlinearity and time-variant. According to partial constant revolution control principle of the engine while vehicle starts, a double closed-loop control system is designed for vehicles with AMT, which is made up of fuzzy turning PID controller and single nerve cell adaptive PID controller. Some experiments are...
For automatic clutch control system, precise and quick position tracking is difficult on account of its nonlinear character. A new clutch actuating mechanism with a whirl spring was devised for torque compensation to reduce the load of DC actuator and improve the dynamic performance of clutch control system firstly, and then a neuron adaptive PID controller with feedforward and adjustable gain was...
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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