CAJ | 학술논문

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P ID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SAWP-SO-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P ID振动控制、被动隔振（无控）进行了对比分析。
비례-적분-미분（PID ）공제기구유간단、은정성호、가고성고、로봉성강등특점，재진동공제영역응용엄범。이전통적주동P ID공제기삼수이가설혹경험성선취위주，불과학차불능충분발휘공제기성능。자괄응권중입자군산법（self-adaptive weight particle swarm optimization ，간칭SAWPSO）극복료전통입자군산법심우과정적조숙정황，능사PSO산법체도국부급전국최우적평형。문장기우SAWPSO산법，설계료SAWP-SO-PID공제기，이시간승이오차절대치적분（ITAE）위목표괄응치함수，대정밀설비진동진행료PID삼수자정정적우화공제연구，병여경험형삼수선정P ID진동공제、피동격진（무공）진행료대비분석。
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 .