Memory-Based Sampled-Data Control Scheme for Vehicle Seat Suspension System With Actuator Faults via a Looped Lyapunov Approach

Abstract

This paper addresses the problem of controlling the Vehicle Seat Suspension System (VSSS) under actuator faults using a memory-based sampled-data control (MSDC) strategy, incorporating looped Lyapunov functions. While previous works have focused on suspension control or actuator fault tolerance individually, few have combined memory-based control with fault-tolerant strategies specifically for Vehicle Seat Suspension Systems (VSSS). This study fills this gap by constructing a 3-Degrees of Freedom (DOF) seat suspension model and designing a novel memory-dependent sampled-data controller. The proposed method improves stability and vibration control by incorporating memory parameters and handling disturbance attenuation and output constraints through $H_{\infty }$ control theory. Simulation results, validated under various road conditions, show significant improvements in ride comfort, road holding, and vehicle handling, outperforming traditional control strategies and also the Root Mean Square (RMS) values indicate significant reduction in vibration.