scholarly journals Adaptive Sliding Mode Control Based on Disturbance Observer for Placement Pressure Control System

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1057 ◽  
Author(s):  
Qi Hong ◽  
Yaoyao Shi ◽  
Zhen Chen

In the process of composite placement, irregularity and asymmetry pressure fluctuation will affect the density and evenness of composite products, which lead to the inconsistency of interfacial strength and fiber volume fraction. The dynamic performance of placement pressure systems will be affected by external disturbance, mechanism friction and measurement noise. In this paper, an adaptive sliding mode control (ASMC) strategy based on disturbance observer (DOB) is proposed. The disturbance observer is introduced to estimate the equivalent disturbance torque, and the estimation error is compensated by the switching term of sliding mode control. The adaptive method is used to ensure that the switching gain is not overestimated, and then the Lyapunov function is used to verify the stability of the closed-loop control system. The experimental results and simulation analysis show that ASMC-DOB has high control accuracy and good robustness. At the same time, the designed algorithm can effectively reduce the void content of composite products.

2018 ◽  
Vol 41 (1) ◽  
pp. 276-284 ◽  
Author(s):  
Jianguo Guo ◽  
Yuchao Liu ◽  
Jun Zhou

An adaptive sliding mode control (ASMC) approach for a second-order system based on an extended disturbance observer (EDO) is proposed in this paper for systems with mismatched uncertainties. The EDO-based ASMC method is investigated to eliminate the effect of mismatched disturbance by using a novel adaptive sliding surface consisting of the disturbance estimation. The proposed method exhibits the following two attractive features: Firstly, the proposed adaptive sliding mode with disturbance estimation is insensitive to the mismatched disturbance; that is, the asymptotical stability of the adaptive sliding mode can be guaranteed in the presence of the disturbance estimation error of the EDO. Secondly, the chattering in traditional sliding mode control methods is eliminated by using an adaptive term the adaptive parameter. Compared with the disturbance-observer-based sliding mode control and the EDO-based modified sliding mode control method, numerical simulation results and application examples show that the proposed approach is robust, has the best dynamic performance and eliminates chattering.


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