Higher order sliding mode and adaptive backstepping controllers for a full-car model with active suspension*

2018 ◽  
Author(s):  
Juan J. Ley-Rosas ◽  
Jorge E. Ruiz-Duarte ◽  
Luis E. Gonzalez-Jimanez ◽  
Alexander G. Loukianov
Keyword(s):  
Sliding Mode ◽  
Active Suspension ◽  
Higher Order ◽  
Adaptive Backstepping ◽  
Car Model

scholarly journals Output Feedback Active Suspension Control With Higher Order Terminal Sliding Mode

2017 ◽  
Vol 64 (2) ◽  
pp. 1392-1403 ◽  
Author(s):  
Jagat Jyoti Rath ◽  
Michael Defoort ◽  
Hamid Reza Karimi ◽  
Kalyana Chakravarthy Veluvolu
Keyword(s):  
Output Feedback ◽  
Sliding Mode ◽  
Active Suspension ◽  
Higher Order ◽  
Terminal Sliding Mode ◽  
Suspension Control

Online Adaptive Neuro-Fuzzy Based Full Car Suspension Control Strategy

2015 ◽  
pp. 992-1039
Author(s):  
Laiq Khan ◽  
Shahid Qamar
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Active Suspension ◽  
Suspension System ◽  
Car Model ◽  
Car Suspension ◽  
Neuro Fuzzy ◽  
Suspension Control ◽  
Soft Computing Technique

Suspension system of a vehicle is used to minimize the effect of different road disturbances for ride comfort and improvement of vehicle control. A passive suspension system responds only to the deflection of the strut. The main objective of this work is to design an efficient active suspension control for a full car model with 8-Degrees Of Freedom (DOF) using adaptive soft-computing technique. So, in this study, an Adaptive Neuro-Fuzzy based Sliding Mode Control (ANFSMC) strategy is used for full car active suspension control to improve the ride comfort and vehicle stability. The detailed mathematical model of ANFSMC has been developed and successfully applied to a full car model. The robustness of the presented ANFSMC has been proved on the basis of different performance indices. The analysis of MATLAB/SMULINK based simulation results reveals that the proposed ANFSMC has better ride comfort and vehicle handling as compared to Adaptive PID (APID), Adaptive Mamdani Fuzzy Logic (AMFL), passive, and semi-active suspension systems. The performance of the active suspension has been optimized in terms of displacement of seat, heave, pitch, and roll.

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