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用于高精度光电跟踪系统的非单点区间二型模糊PID控制

Non-singleton interval type-2 fuzzy PID control for high precision electro-optical tracking system.

作者信息

Tong Wei, Zhao Tao, Duan Qianwen, Zhang Hanwen, Mao Yao

机构信息

College of Electrical Engineering, Sichuan University, Chendu 610065, China.

Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China; Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu 610209, China; University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

ISA Trans. 2022 Jan;120:258-270. doi: 10.1016/j.isatra.2021.03.010. Epub 2021 Mar 12.

DOI:10.1016/j.isatra.2021.03.010
PMID:33745692
Abstract

In this paper, two non-singleton interval type-2 fuzzy PID (NIT2F-PID) controllers for the high precision electro-optical tracking system (ETS) are presented to improve anti-interference ability. Specifically, two types of non-singleton fuzzifiers, including type-1 (T1) and type-2 (T2), are considered to construct the proposed NIT2F-PID (N1IT2F-PID and N2IT2F-PID) controllers. Faced with the optimization problem of parameters, particle swarm optimization (PSO), quantum-behaved PSO (QPSO), weighted QPSO (WQPSO) and improved QPSO with adaptive coefficients (LTQPSO) are employed for comparison of convergence performance to optimize the parameters of controllers. In addition, to demonstrate the superiority of the proposed NIT2F-PID controllers, PID, singleton T1 fuzzy PID (ST1F-PID), singleton interval T2 fuzzy PID (SIT2F-PID), T1 non-singleton interval T2 fuzzy (N1IT2F) and T2 non-singleton interval T2 fuzzy (N2IT2F) controllers are also designed. All of these controllers are tested under the circumstances of step disturbance and sinusoidal disturbance. At last, a series of simulation analyses and experimental results explicitly show performance of proposed NIT2F-PID controllers are superior to their counterparts.

摘要

本文提出了两种用于高精度光电跟踪系统(ETS)的非单点区间二型模糊PID(NIT2F-PID)控制器,以提高抗干扰能力。具体而言,考虑了两种类型的非单点模糊器,即一型(T1)和二型(T2),来构建所提出的NIT2F-PID(N1IT2F-PID和N2IT2F-PID)控制器。针对参数优化问题,采用粒子群优化(PSO)、量子行为粒子群优化(QPSO)、加权QPSO(WQPSO)和自适应系数改进QPSO(LTQPSO)来比较收敛性能,以优化控制器参数。此外,为了证明所提出的NIT2F-PID控制器的优越性,还设计了PID、单点T1模糊PID(ST1F-PID)、单点区间T2模糊PID(SIT2F-PID)、T1非单点区间T2模糊(N1IT2F)和T2非单点区间T2模糊(N2IT2F)控制器。所有这些控制器都在阶跃干扰和正弦干扰的情况下进行了测试。最后,一系列仿真分析和实验结果明确表明,所提出的NIT2F-PID控制器的性能优于同类控制器。

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