Robust Vibration Control for Active Suspension System of In-Wheel-Motor-Driven Electric Vehicle Via μ-Synthesis Methodology

This paper proposes a robust vibration controller design for active suspension system of in-wheel-motor-driven electric vehicles (IWMD-EVs) based on unified mu-synthesis framework. First, multiple parameter uncertainties and unmodeled high-order dynamics of the suspension are analyzed and discussed. By applying the mixed uncertainties and linear fraction transformation, model perturbations are separated from the suspension system and their perturbation bounds can also be limited. Then, the uncertain quarter-vehicle active suspension model with dynamic damping in-wheel-motor-driven system is established, in which in-wheel motor is suspended as a dynamic vibration absorber. The resulting robust mu-synthesis feedback controller of generalized closed-loop active suspension system is designed with the concept of structured singular value (SSV) mu and mu-synthesis theoretics, and solved via comprehensive solution of the D-G-K iteration. The mu analysis results show that the mu-controller possesses less conservative stability and performance margins as compared to the H-infinity method against system uncertainties. Furthermore, simulations of nominal and perturbed suspension systems are implemented and the corresponding frequency and time-domain responses are compared, and then simulation results confirm that the developed mu-controller is capable of attenuating the negative vibration of the active suspension system compared with H-infinity controller and passive suspension.

Automated summary

This paper proposes a robust vibration controller design for active suspension system of in-wheel-motor-driven electric vehicles (IWMD-EVs) based on unified mu-synthesis framework. The uncertain quarter-vehicle active suspension model with dynamic damping in-wheel-motor-driven system is established, and a robust mu-synthesis feedback controller is designed using structured singular value (SSV) mu and mu-synthesis theoretics. The results show that the mu-controller possesses less conservative stability and performance margins as compared to the H-infinity method against system uncertainties.