We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
基于粒子群优化的主动悬架PID 控制策略.
- Authors
詹长书; 苏立庆
- Abstract
In view of the proportional integration-derivative (PID) controller parameter selection problem of automotive active suspension, the traditional PID control parameter setting has certain blindness. The particle swarm optimization algorithm was designed. The objective function was established according to the suspension performance index. The parameters of PID controller were optimized by using particle swarm optimization algorithm. The results show as follows. Compared with the active suspension with PID control before optimization, the performance index of the vehicle active suspension with PSO optimization PID control has been significantly improved. PID control optimized by Particle swarm algorithm (PSO) improves vehicle ride comfort and handling stability, and solves the problem of PID controller parameter setting.
- Publication
Science Technology & Engineering, 2022, Vol 22, Issue 10, p4180
- ISSN
1671-1815
- Publication type
Article