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Appl. Sci. 2018, 8(1), 76; doi:10.3390/app8010076

Prescribed Performance Constraint Regulation of Electrohydraulic Control Based on Backstepping with Dynamic Surface

1
School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
2
State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
3
School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
*
Authors to whom correspondence should be addressed.
Received: 16 November 2017 / Revised: 25 December 2017 / Accepted: 25 December 2017 / Published: 8 January 2018
(This article belongs to the Special Issue Power Transmission and Control in Power and Vehicle Machineries)
View Full-Text   |   Download PDF [880 KB, uploaded 8 January 2018]   |  

Abstract

In electro-hydraulic system (EHS), uncertain nonlinearities such as some hydraulic parametric uncertainties and external load disturbance often degrade the output dynamic performance. To address this problem, a prescribed performance constraint (PPC) control method is adopted in EHS to restrict the tracking position error of the cylinder position to a prescribed accuracy and guarantee the dynamic and steady position response in a required boundedness under these uncertain nonlinearities. Furthermore, a dynamic surface is designed to avoid the explosion of complexity due to the repeatedly calculated differentiations of the virtual control variables derived in backstepping. The effectiveness of the proposed controller has been verified by a comparative results. View Full-Text
Keywords: electro-hydraulic system; uncertain nonlinearity; prescribed performance constraint; backstepping electro-hydraulic system; uncertain nonlinearity; prescribed performance constraint; backstepping
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Guo, Q.; Liu, Y.; Jiang, D.; Wang, Q.; Xiong, W.; Liu, J.; Li, X. Prescribed Performance Constraint Regulation of Electrohydraulic Control Based on Backstepping with Dynamic Surface. Appl. Sci. 2018, 8, 76.

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