CAJ | 학술논문

针对目前应用在 PID 参数自整定中的算法实现复杂、控制效果差、计算复杂度高等问题，提出了一种基于 Solis＆Wets 算法的 PID 参数自整定方法。但考虑到初值点的选取会影响算法寻优的效果，将改进粒子群优化融合进 Solis＆Wets 算法中。标准粒子群算法加入以下策略进行改进：引入平均极值将种群分类，针对不同种群采用异步进化策略，增强种群间的协作；针对进化过程中同一粒子的不同维度所出现的维差异问题，通过引入距离因子，实现粒子按维动态改变惯性权重的策略。将改进算法用于 PID 参数自整定中，并与其他几种算法作比较，结果表明，所提算法不仅可获得更好的控制效果，计算复杂度也明显降低。
침대목전응용재 PID 삼수자정정중적산법실현복잡、공제효과차、계산복잡도고등문제，제출료일충기우 Solis＆Wets 산법적 PID 삼수자정정방법。단고필도초치점적선취회영향산법심우적효과，장개진입자군우화융합진 Solis＆Wets 산법중。표준입자군산법가입이하책략진행개진：인입평균겁치장충군분류，침대불동충군채용이보진화책략，증강충군간적협작；침대진화과정중동일입자적불동유도소출현적유차이문제，통과인입거리인자，실현입자안유동태개변관성권중적책략。장개진산법용우 PID 삼수자정정중，병여기타궤충산법작비교，결과표명，소제산법불부가획득경호적공제효과，계산복잡도야명현강저。
To solve current algorithms’problems when applying to the self-tuning of PID parameters,such as complex proces-ses,bad controlling effects,high computational complexity,this paper proposed a method of self-tuning of PID parameters based on Solis&Wets algorithm.However,considering the selection of the initial point would affect the effect of optimization,a modi-fied particle swarm optimization was mixed with Solis&Wets algorithm.This modified algorithm involved following strategies:introducing average extreme value to classify the population,adopting asynchronous evolutionary strategies for different popula-tions while enhancing collaboration between populations,introducing the concept of distance factor to dynamically change the inertia weight by dimensions considering that the different dimensions of the same particle had differences during searching the best location.It applied the modified Solis&Wets algorithm to the self-tuning of PID parameters while comparing with other al-gorithms.The result shows that the proposed algorithm not only has a better performance for control,but has a lower computa-tional complexity.