The purpose of this paper is to improve the performance of vehicles with active hydro-pneumatic suspension system. A new hierarchy control strategy for the active hydro-pneumatic suspension system was proposed with consideration of the actuator dynamic characteristics. The parameters of the upper controller of the fuzzy logic PID controller were optimized based on a genetic algorithm (GA). In addition, considering the practical implementation of the proposed control scheme, a GA-based self learning process was initiated only when the defined performance index of the vehicle dynamics went beyond a threshold for a debounce time. The proposed control strategy was implemented on the virtual prototype and cosimulations were launched with different road disturbance inputs. The co-simulation results show that the active hydro-pneumatic suspension system proposed in this paper can significantly improve the vehicle riding comfort characteristic. The robustness and adaptability of proposed controller were also examined even when the control system was subjected to severe road conditions or continuously extreme rough road conditions.

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