Non-Fragile Observer-Based Dissipative Control of Active Suspensions for In-Wheel Drive EVs with Input Delays and Faults
This paper presents a non-fragile observer-based dissipative control strategy for the suspension systems of electric vehicles equipped with in-wheel motors, accounting for input delays, actuator faults, and observer gain uncertainty. Traditional control approaches—such as H∞, passive control, and robust feedback schemes, often address these challenges in isolation and with increased conservatism. In contrast, this work introduces a unified framework that integrates fault-tolerant control, delay compensation, and robust state estimation within a dissipativity-based setting. A novel dissipativity analysis tailored to Electric Vehicle Active Suspension Systems (EV-ASSs) is developed, with nonzero delay bounds explicitly incorporated into the stability conditions. The observer is designed to ensure accurate state estimation under gain perturbations, enabling robust full-state feedback control. Stability and performance criteria are formulated via Linear Matrix Inequalities (LMIs) using advanced integral inequalities to reduce conservatism. Numerical simulations validate the proposed method, demonstrating effective fault-tolerant performance, disturbance rejection, and precise state reconstruction, thereby extending beyond the capabilities of traditional control frameworks.
Authors
- A. Srinidhi (ORCID: https://orcid.org/0000-0002-6110-1222)
- Michał Niezabitowski (ORCID: https://orcid.org/0000-0003-4553-5351)
- R. Raja (ORCID: https://orcid.org/0000-0003-0830-4933)
- Jehad Alzabut (ORCID: https://orcid.org/0000-0002-5262-1138)
- S. Vimal Kumar
Institutions
- Silesian University of Technology (PL)
- Alagappa University (IN)
- Prince Sultan University (SA)
- SRM Institute of Science and Technology (IN)
- Ostim Technical University (TR)
- Lebanese American University (LB)
Publication Details
- Journal
- Automation
- Published
- 2025-06-30
- DOI
- https://doi.org/10.3390/automation6030028
- Citations
- 1
- Primary Topic
- Adaptive Control of Nonlinear Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Department of Science and Technology, Ministry of Science and Technology, India