Interval Type-2 Fuzzy Logic PID Controller Based on Differential Evolution with Better and Nearest Option for Hydraulic Serial Elastic Actuator

被引:11
作者
Dong, Haozhen [1 ]
Li, Xinyu [1 ]
Shen, Pi [1 ]
Gao, Liang [1 ]
Zhong, Haorang [1 ]
机构
[1] Huazhong Univ Sci & Technol HUST, Sch Mech Sci & Engn, 1037 Luoyu Rd, Wuhan, Hubei, Peoples R China
关键词
Differential evolution with better and nearest option; hydraulic serial elastic actuator; interval type-2 fuzzy logic PID controller; optimization; position control; GENETIC-ALGORITHM; OPTIMIZATION; SYSTEMS; DESIGN; EXOSKELETON; REDUCTION;
D O I
10.1007/s12555-020-0141-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Interval type-2 fuzzy logic controller (IT2FLC) owns good performance under uncertainty and nonlinearity environments while its optimization is hard and complicated. In this work, we propose an optimization method based on differential evolution with better and nearest option (NbDE) for interval type-2 fuzzy logic PID controller (IT2FL-PID-C) in order to control the position of hydraulic serial elastic actuator (SEA). Firstly, a simplified IT2FL-PID-C structure with fewer parameters is proposed to reduce the difficulty of the optimization of IT2FL-PID-C. To balance its frequency and step performance, an objective function with weighted integral time absolute error and integral square error is given. Secondly, to investigate the performance of NbDE based IT2FL-PID-C, three experiments are conducted. A set of experiments is taken to determine the weight for fitness function. Then we compare NbDE with other algorithms. In addition, NbDE-IT2FL-PID-C is also compared with other optimization methods. At last, NbDE-IT2FL-PID-C is applied to hydraulic SEA and compared with PID. And a range for the weight of fitness function is given. The results have shown the superiority of NbDE with proposed fitness function to optimize IT2FL-PID-C and the superiority of NbDE-IT2FL-PID-C to control the position of hydraulic SEA.
引用
收藏
页码:1113 / 1132
页数:20
相关论文
共 67 条
  • [1] Amador L., 2017, OPTIMIZATION TYPE 2
  • [2] [Anonymous], 2006, P AUSTR C ROB AUT AU
  • [3] Baresel Andre., 2002, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO '02, P1329
  • [4] Bellman R. E., 1971, Decision-making in a fuzzy environment, DOI 10.1287/mnsc.17.4.B141
  • [5] Castillo O., 2007, TYPE 2 FUZZY LOGIC T
  • [6] Castillo O., 2014, P IEEE C NORB WIEN 2, P1
  • [7] A generalized type-2 fuzzy logic approach for dynamic parameter adaptation in bee colony optimization applied to fuzzy controller design
    Castillo, Oscar
    Amador-Angulo, Leticia
    [J]. INFORMATION SCIENCES, 2018, 460 : 476 - 496
  • [8] A review on interval type-2 fuzzy logic applications in intelligent control
    Castillo, Oscar
    Melin, Patricia
    [J]. INFORMATION SCIENCES, 2014, 279 : 615 - 631
  • [9] GENETIC DESIGN OF OPTIMAL TYPE-1 AND TYPE-2 FUZZY SYSTEMS FOR LONGITUDINAL CONTROL OF AN AIRPLANE
    Castillo, Oscar
    Cervantes, Leticia
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2014, 20 (02) : 213 - 227
  • [10] An interval type-2 fuzzy logic controller design method for hydraulic actuators of a human-like robot by using improved drone squadron optimization
    Dong, Haozhen
    Gao, Liang
    Shen, Pi
    Li, Xinyu
    Lu, Yan
    Dai, Wenyan
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2019, 16 (06):