Model Reference Position Control of a System with Backlash and Elastic Characteristics

1992 ◽  
Vol 25 (29) ◽  
pp. 65-70
Author(s):  
P. Bobber ◽  
P. Fedor
Author(s):  
Junfeng Jiang ◽  
Xiaojun Zhou ◽  
Wei Zhao ◽  
Wei Li

A model reference adaptive sliding mode control for the position control of the permanent magnet synchronous motor is developed in this article. First of all, a fast sliding surface is designed to achieve faster convergence than the ordinary sliding mode control. Then, the adaptive laws are developed to make the control parameters, especially the switching gain, updated online. Therefore, the chattering can be reduced effectively and the disturbance can be rejected well. Finally, a reference model which produces an exponential decay curve is applied for the position error to follow. Thus, not only fast error convergence can be guaranteed, but also the dynamic process of the system response can be controlled easily by modifying the decay rate of the reference model. The proposed model reference adaptive sliding mode control scheme combines the advantages of the sliding mode control and the model reference adaptive control. Simulation and experimental results reveal that faster and more accurate performance with smoother control signal and better robustness is obtained compared with other methods. Also, the model reference adaptive sliding mode control method can maintain good performance when the system inertia or the position reference varies in a wide range.


2014 ◽  
Vol 532 ◽  
pp. 212-217
Author(s):  
Juan Zhang ◽  
Xing Song Wang

Servo press is a new developing trend in forming equipment. In order to improve the position control accuracy, the movement rule of crank press slide block is analyzed. In view of the servo press poison PID control algorithm parameters cant realize real-time adjustment, model reference adaptive control strategy is presented, and a real-time control experiment platform is established in xPC target environment based on MATLAB RTW. The experiment results shows that the model reference adaptive control strategy is of higher accuracy and better robustness than the PID control strategy.


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