CAJ | 학술논문

针对最小拍无波纹控制器教学中存在的计算量大的问题，提出了一种应用粒子群优化算法自动求解最小拍无波纹控制器的方法。通过应用系统的闭环 Z传递函数和闭环误差Z传递函数之间的数学关系构造适应度函数，然后采用粒子群优化算法求解闭环 Z传递函数和闭环误差Z传递函数中的未知系数，以实现最小拍无波纹控制器设计的自动化。数值仿真结果表明，应用该算法和手工计算的结果一致，验证了该算法的可行性和准确性。研究结果为更好地开展最小拍无波纹控制器设计的理论教学、实验和工程应用提供了一种计算机辅助设计工具和思路。
침대최소박무파문공제기교학중존재적계산량대적문제，제출료일충응용입자군우화산법자동구해최소박무파문공제기적방법。통과응용계통적폐배 Z전체함수화폐배오차Z전체함수지간적수학관계구조괄응도함수，연후채용입자군우화산법구해폐배 Z전체함수화폐배오차Z전체함수중적미지계수，이실현최소박무파문공제기설계적자동화。수치방진결과표명，응용해산법화수공계산적결과일치，험증료해산법적가행성화준학성。연구결과위경호지개전최소박무파문공제기설계적이론교학、실험화공정응용제공료일충계산궤보조설계공구화사로。
Aiming at the heavy burden on computation for design of ripple‐free minimum deadbeat controller by manual design ,a novel particle swarm optimization method is presented .The fitness function is constructed on the basis of the mathematical relationship between closed‐loop Z transfer function and closed‐loop error Z transfer function .Then ,the unknown variables could be easily determined using a particle swarm optimization algorithm ,and subsequently the ripple‐free minimum beat controller is determined .Finally ,the numerical simulation demonstrates that the result from the presented algorithm is equal to those from manual design ,which validates the feasibility and accuracy of the algorithm . This work provides a valuable computer‐aided design tool for improving the theoretical teaching and experiments on design of ripple‐free minimum deadbeat controller .