Ship Course Tracking Control Based On Single Neuron Adaptive PID

Author(s):  
Xingwu Wang ◽  
Jialun Liu ◽  
Zheng Huang ◽  
Xuming Wang
2013 ◽  
Vol 394 ◽  
pp. 398-403
Author(s):  
Chang Lin Ma ◽  
Lin Hao ◽  
Feng Li

The single neutron adaptive PID controller is applied to the angular velocity tracking control of the hydraulic lifting system. The angle velocity tracking control strategy of the lifting process is proposed, and the lifting angle velocity is designed based on the sine acceleration function, and the lifting angle velocity dynamic programming based on the real-time angle is proposed. The single neutron adaptive PID control method is studied, and in order to improve its performance, a method utilizing genetic algorithm to optimize these parameters of single neuron PID controller is presented. The control algorithm is applied to the large mechanical lifting process successfully, and the simulation results show that the control performance of the Adaptive PSD Controller is more effective.


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