A new robust adaptive control algorithm for linear time-varying plants

1998 ◽  
Vol 29 (9) ◽  
pp. 931-937 ◽  
Author(s):  
CHENG-JIN ZHANG ◽  
TIAN-YOU CHAI
Keyword(s):  
Adaptive Control ◽  
Control Algorithm ◽  
Linear Time ◽  
Robust Adaptive Control ◽  
Time Varying ◽  
Robust Adaptive ◽  
Adaptive Control Algorithm

scholarly journals Fully Automatic Operation Algorithm of Urban Rail Train Based on RBFNN Position Output Constrained Robust Adaptive Control

Algorithms ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 264
Author(s):  
Junxia Yang ◽  
Youpeng Zhang ◽  
Yuxiang Jin
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Algorithm ◽  
Ride Comfort ◽  
Robust Adaptive Control ◽  
Automatic Operation ◽  
Urban Rail ◽  
Fully Automatic ◽  
Robust Adaptive ◽  
Adaptive Control Algorithm

High parking accuracy, comfort and stability, and fast response speed are important indicators to measure the control performance of a fully automatic operation system. In this paper, aiming at the problem of low accuracy of the fully automatic operation control of urban rail trains, a radial basis function neural network position output-constrained robust adaptive control algorithm based on train operation curve tracking is proposed. Firstly, on the basis of the mechanism of motion mechanics, the nonlinear dynamic model of train motion is established. Then, RBFNN is used to adaptively approximate and compensate for the additional resistance and unknown interference of the train model, and the basic resistance parameter adaptive mechanism is introduced to enhance the anti-interference ability and adaptability of the control system. Lastly, on the basis of the RBFNN position output-constrained robust adaptive control technology, the train can track the desired operation curve, thereby achieving the smooth operation between stations and accurate stopping. The simulation results show that the position output-constrained robust adaptive control algorithm based on RBFNN has good robustness and adaptability. In the case of system parameter uncertainty and external disturbance, the control system can ensure high-precision control and improve the ride comfort.

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