Abstract
Vehicle suspension system is the key part in vehicle chassis, which has influence on the vehicle ride comfort, handling stability, and security. The extension control, which is not constrained by common control method, could further improve the suspension system performance. The 7 degree-of-freedom suspension model is built. The extension controller is designed according to the function differences. In different extension set domains according to the correlation function, the corresponding control strategy is designed to ensure the suspension system obtains optimal performance in the classical domain and expands the controllable range outside the classical domain as large as possible. By adopting game theory, the domain is optimally divided, and the domain boundary control jump is smoothed by introducing Takagi–Sugeno–Kang fuzzy control into the extension control. Through the simulation and results comparison, it is demonstrated that the extension control could further improve the vehicle ride comfort than the optimal control and the extension control ability can be further promoted through domain game and Takagi–Sugeno–Kang fuzzy control. The analysis of the influence of the extension controller parameter varieties on suspension system performance shows that the error-weighted coefficient and control coefficient have significant effect to the suspension system performance.
Highlights
Vehicle suspension system is one of the key subsystems in the chassis, whose performance has direct influence to the full-vehicle dynamics performance
The extension control (EC) is based on a conventional control method and can extend the control ability of the controller, which gets rid of the limitations of conventional control and is not subject to the restriction of the specific conventional control method
The extension controller design process is divided into the five steps: characteristic variable extraction (CVE), correlation degree calculation (CDC), measure mode division (MMD), control reasoning mechanism (CRM), and control strategy (CS)
Summary
Vehicle suspension system is one of the key subsystems in the chassis, whose performance has direct influence to the full-vehicle dynamics performance. The researchers adopted different control strategy (CS) to improve the system control performance.[1,2,3] Vehicles are a classical complex dynamic system with multi-input, multi-output, coupling, and nonlinearity. The problem therein is how to divide the boundaries between two adjacent domains properly to make the suspension system control performance improvement. The control actions are adopted in different extension set ranges, and the corresponding control algorithms are separately designed to obtain the suspension system extension controller. To improve the EC jump nearby the domain boundaries, the Takagi–Sugeno– Kang (TSK) fuzzy control method is introduced so as to get an overall smooth control action for the suspension system. The extension set is built, which is divided into CD, ED, and ND On this basis, the control actions are adopted in different extensive set areas according to the correlation function values. The corresponding control algorithms in the CD, ED, and ND are separately designed, so as to obtain the extension controller for vehicle suspension system
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