Title: Super-twisting algorithm-based integral sliding mode control with composite nonlinear feedback control for magnetic levitation system
Authors: Avadh Pati; Richa Negi
Addresses: Department of Electrical Engineering, National Institute of Technology, Silchar, India ' Department of Electrical Engineering, Motilal Nehru National Institute of Technology, Allahabad, India
Abstract: The paper aims to discuss the issues of actuator saturation and external disturbance in the magnetic levitation (maglev) system. The proposed technique is composed of composite nonlinear feedback (CNF) and super-twisting algorithm (STA)-based integral sliding mode (ISM) control to tackle the problem of actuator saturation and external disturbances simultaneously. The composite nonlinear feedback scheme comprises of linear feedback law which provides stability and fast response whereas the nonlinear feedback law takes care of input saturation and reduces the overshoot. The super-twisting algorithm (STA)-based integral sliding mode (ISM) controller is designed for disturbance rejection. A super-twisting algorithm-based approach is applied on ISM scheme to eliminate the chattering effect and make it continuous in nature for its direct implementation to the physical maglev system. The designed scheme is successfully tested on real-time feedback instruments model of the maglev system.
Keywords: maglev system; composite nonlinear feedback; CNF; super-twisting algorithm; STA; integral sliding mode; ISM; actuator saturation.
International Journal of Automation and Control, 2019 Vol.13 No.6, pp.717 - 734
Available online: 10 Jul 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article