A particle swarm algorithm is introduced for the parameter adjustment problem of 2-de-gree-of-freedom active suspension proportional-integral-derivative(PID)controller,and the parame-ter adjustment problem of PID controller is solved by the global search ability of particle swarm al-gorithm.The objective function is established according to the evaluation index of the suspension performance,and the random road excitation input and the speed bump trapezoidal impact road ex-citation input are simulated and the effectiveness of the PID controller optimized based on the im-proved particle swarm algorithm is verified.The simulation results show that the convergence speed of the objective function is significantly improved after the particle swarm algorithm is improved,and the active suspension with optimized PID control based on the improved particle swarm algo-rithm has better handling smoothness under different excitation input conditions,thus verifying the effectiveness of the improved particle swarm algorithm and solving the parameter tuning problem of the PID controller.
关键词
主动悬架/粒子群优化算法/PID/平顺性/仿真
Key words
active suspension/particle swarm optimization algorithm/PID/smoothness/simulation
维普
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