Model-free fractional-order sliding mode control for an active vehicle suspension system. (January 2018)

• Record Type: Journal Article
• Authors: Wang, H.P.; Mustafa, Ghazally I.Y.; Tian, Y.
• Is Part Of: Advances in engineering software. Volume 115(2018)
• Page Start: 452
• Page End: 461
• Publication Date: 2018-01
• Subjects: Active suspension system -- Model-free control -- Fractional-order sliding mode control -- ESO -- AMESim; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2017.11.001
• Languages: English
• ISSNs: 0965-9978

Abstract

Highlights: A nonlinear quarter car active suspension system model (NQCASS) is proposed. A model-free fractional-order sliding mode control (MFFOSMC) based on extended state observer (ESO) which is combined an ultra-local model with sliding mode and ESO. The MFFOSMC is designed to cancel the effects of the unknown model and uncertainties and to ensure a perfect ride comfort and the ride safety. The NQCASS was performed by LMS-AMESim while the control part was configured by Matlab/Simulink. To demonstrate the MFFOSMC effectiveness, a comparison with TDEC, classic PID, and iPID was conducted in Co-Simulation platform. Abstract: This paper presents a new model-free fractional-order sliding mode control (MFFOSMC) based on an Extended State Observer (ESO) for a quarter car active suspension systems. The main goal is to increase the ride comfort while the dynamic wheel load and the suspension deflection remain within safety critical bounds. The model with nonlinearity, parameter variation and/or external disturbance which includes the friction force effect are simultaneously considered to provide a realistic framework. Moreover, modeling was performed using the software LMS AMESim, while the control part was configured on Matlab/Simulink. Lyapunov stability theory is used to analyze the closed-loop system and finite-time convergence stability. Finally, to demonstrate the effectiveness of the proposed controller, a comparison with classical PID, time delay estimation control, and intelligent PID controller has been performed.