Title: Robustness of adaptive inverse control in solving internal and external disturbance uncertainties for a class of non-linear systems

Authors: Zhan Shuo; Bai Jing; Li Chao-Chao; Yue Lin; Li Hua-de

Addresses: College of Electric Information Engineering, Beihua University, Jilin, China ' College of Electric Information Engineering, Beihua University, Jilin, China ' College of Electric Information Engineering, Beihua University, Jilin, China ' College of Electric Information Engineering, Beihua University, Jilin, China ' College of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China

Abstract: In this paper, adaptive inverse control is developed to deal with the problem about the control performance of non-linear systems, which are affected by the uncertainty of the parameters and external disturbance. An adaptive inverse controller, which is used as a feed forward controller, is designed to realise real-time tracking of the system output and to enhance the robustness of the system under parameter perturbation. A noise and disturbance canceller is used to eliminate the influence of external disturbance and measurement noise for open loop system output. The results of a simulation conducted on the variable frequency speed control system of an induction motor verify the feasibility and effectiveness of the proposed method.

Keywords: robustness; adaptive inverse control; non-linear systems.

DOI: 10.1504/IJCAT.2019.098035

International Journal of Computer Applications in Technology, 2019 Vol.59 No.2, pp.185 - 192

Received: 03 May 2018
Accepted: 07 May 2018
Published online: 27 Feb 2019 *

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