摘要
比例-积分-微分(PID)控制器具有简单、稳定性好、可靠性高、鲁棒性强等特点,在振动控制领域应用广泛。而传统的主动PID控制器参数以假设或经验性选取为主,不科学且不能充分发挥控制器性能。自适应权重粒子群算法(self-adaptive weight particle swarm optimization,简称SAWPSO)克服了传统粒子群算法寻优过程的早熟情况,能使PSO算法达到局部及全局最优的平衡。文章基于SAWPSO算法,设计了SAWPSO-PID控制器,以时间乘以误差绝对值积分(ITAE)为目标适应值函数,对精密设备振动进行了PID参数自整定的优化控制研究,并与经验型参数选定PID振动控制、被动隔振(无控)进行了对比分析。
Proportional-integral-derivative（PID） controller has characteristics of simplicity ,good stability ,high reliability ,strong robustness ,etc ,so it is widely used in the field of vibration control of precision equipment . The parameters of traditional active PID controllers are often based on the assumption or empirical selection , which is unscientific and can not give full play to the performance of controllers .Self-adaptive weight particle swarm optimization（SAWPSO ） overcomes the precocious situation of the traditional particle swarm optimiza-tion ,and it can achieve the local and global optimum balance .In this paper ,the SAWPSO-PID controller is designed based on the SAWPSO ,and the objective function is the integral of time-weighted absolute error （ITAE ） .The PID parameters self-tuning optimization of precision equipment vibration control is studied ,and the comparative analysis with empirical PID parameters selection and passive isolation（uncontrolled） is presented .
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2014年第10期1153-1157,共5页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(51078123
51179043)
