A Bioinspired Dynamics-Based Adaptive Fuzzy SMC Method for Half-Car Active Suspension Systems With Input Dead Zones and Saturations

• Published in: IEEE transactions on cybernetics Vol. 51; no. 4; pp. 1743 - 1755
• Main Authors: Zhang, Menghua, Jing, Xingjian
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.04.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Active suspension systems; Adaptation models; Adaptive systems; bioinspired dynamics; Biological system modeling; Biomimetics; Control methods; Convergence; Damping; dead zone; Design defects; Energy consumption; Energy costs; finite-time convergence; Fuzzy logic; fuzzy-logic systems (FLSs); Parameter uncertainty; Passenger comfort; PD-SMC method; saturation; Stability; Stability analysis; Stiffness; Suspension systems; Suspensions; Tracking errors; Vibration control
• ISSN: 2168-2267; 2168-2275
• DOI: 10.1109/TCYB.2020.2972322

Active suspension systems are widely used in vehicles to improve ride comfort and handling performance. However, existing control strategies may be limited by various factors, including insufficient consideration of different operation conditions, such as changing in vehicle mass, defects in strategy design leading to incapability for guaranteeing finite-time stability, lack of considering input effects of dead zone and saturation, excessive energy cost, etc. Importantly, very few results considered the energy-saving performance of active suspension systems although a well-perceived issue in practice. An adaptive fuzzy SMC method based on a bioinspired reference model is established in this article, which is to purposely address these problems and be able to provide finite-time convergence and energy-saving performance simultaneously. The proposed control method effectively utilizes beneficial nonlinear stiffness and nonlinear damping properties that the bioinspired reference model could provide. Therefore, superior vibration suppression performance with less energy consumption and improved ride comfort can all be obtained readily. By using a fuzzy-logic system (FLS), the proposed method is beneficial in compensating for system parameter uncertainties, external disturbances, input dead zones, and saturations. Furthermore, based on the adaptive PD-SMC method, the tracking errors can converge to zeros in finite time. The stability of the equilibrium point of all the states in active suspension systems is theoretically proven by Lyapunov techniques. Finally, simulation results are provided to verify the correctness and effectiveness of the proposed control scheme.