Abstract
When hydraulic torque converter is applied in hydraulic transmission-vehicle, control precision in buffer locking process of hydraulic torque converter was easily disturbed by friction plate's abrasion, changed buffer slope and other factors, which accordingly caused Impact to transmission system of vehicle. In this paper, adaptive control techniques was applied in buffer locking process as a solution to improve control precision, on basis of Back Propagation (BP) Neural Networks and Genetic Algorithm (GA). In the research, the BP Neural Networks and PID control algorithm was designed to control buffer locking process and Genetic Algorithm was applied to optimize the neural network parameters. Based on AMEsim and Matlab/simulink, joint simulation was carried out. The simulation result shows that Adaptive Control Techniques based on GA-BP can control the locking process fast and accurately.
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