Finite time energy-saving control of active suspension based on force random walk PSO

To reduce energy consumption in the active suspension, this paper proposes a new method for vehicle active suspension control. The energy consumption characteristics of the coupling system is analyzed. On this basis, a finite time controller based on unknown state estimation is proposed, and its global finite time convergence is proved, the upper limit of time convergence is given. Secondly, based on Analytic Hierarchy Process (AHP) and the force random walk PSO algorithm (FRWPSO), a multi-objective optimization function is constructed to determine the control parameters under different driving modes. Finally, simulation experiments show that under random road surfaces and triangular obstacles, the proposed control method can effectively improve suspension comfort and operational stability compared to nonsingular terminal sliding mode control (TSMC), The RMS values of energy consumption decreased by 55.34% and 20.55% respectively, verifying the effectiveness of the proposed control method.