Design of Optimal PID Controller Using NSGA-II Algorithm and Level Diagram

被引:0
|
作者
Moharam, Amal [1 ]
El-Hosseini, Mostafa A. [1 ]
Ali, Hesham A. [1 ]
机构
[1] Mansura Univ, Fac Engn, Comp Engn & Control Syst Dept, Mansoura, Egypt
来源
STUDIES IN INFORMATICS AND CONTROL | 2015年 / 24卷 / 03期
关键词
Decision making (DM); Evolutionary algorithm (EA); Level Diagram (LD); Multi-objective optimization (MO); PID controller; Three Tanks Liquid Level System; MULTIOBJECTIVE GENETIC ALGORITHM; OPTIMIZATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper introduces a design for multi-objective PID controller using non-dominated sorting genetic algorithm (NSGA-II). When selecting the objectives to be optimized, it is taken into account to cover some important characteristics of the system like performance, robustness and control signals' smoothness. The decision making is done using Level diagram tool. Three tanks liquid level system control is discussed as a case study. The results show that this tool improves the process of decision making (DM). Also, comparisons with Ziegler and Nichols (Z-N) and different optimization methods are presented.
引用
收藏
页码:301 / 308
页数:8
相关论文
共 50 条
  • [31] Optimal allocation between distributed generations and microgrid based on NSGA-II algorithm
    Sheng, Wanxing
    Ye, Xueshun
    Liu, Keyan
    Meng, Xiaoli
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2015, 35 (18): : 4655 - 4662
  • [32] Earthquake Design of Reinforced Concrete Buildings Using NSGA-II
    Leyva, Herian A.
    Bojorquez, Eden
    Bojorquez, Juan
    Reyes-Salazar, Alfredo
    Castorena, Jose H.
    Fernandez, Eduardo
    Barraza, Manuel A.
    [J]. ADVANCES IN CIVIL ENGINEERING, 2018, 2018
  • [33] DESIGN OF NEW CLEAN AND EFFICIENT COMBUSTION MODE AND THERMODYNAMICS RESEARCH USING NSGA-II ALGORITHM
    Shen, Guoqing
    [J]. THERMAL SCIENCE, 2020, 24 (05): : 2699 - 2706
  • [34] Optimal Application Mapping on NoC Infrastructure using NSGA-II and MicroGA
    Carvalho da Silva, Marcus Vinicius
    Nedjah, Nadia
    Mourelle, Luiza de Macedo
    [J]. 2009 INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, 2009, : 71 - +
  • [35] Optimal Retrofitting of a Hybrid Propulsion System Using NSGA-II Algorithm for Trailing Suction Hopper Dredger
    Zhan, Keyi
    Gao, Haibo
    Chen, Hui
    Lin, Zhiguo
    [J]. 2015 IEEE ELECTRIC SHIP TECHNOLOGIES SYMPOSIUM (ESTS), 2015, : 201 - 206
  • [36] Multi-objective PI controller tuning using NSGA-II with preferability
    Zhang, Tao
    Yin, Xiaokang
    [J]. 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 1562 - 1568
  • [37] Optimal SVC placement in electric power system using NSGA-II
    Dixit, Shishir
    Agnihotri, Ganga
    Srivastava, Laxmi
    [J]. International Journal of Control and Automation, 2014, 7 (07): : 383 - 396
  • [38] A potent numerical model coupled with multi-objective NSGA-II algorithm for the optimal design of Stirling engine
    Ahmed, Fawad
    Zhu, Shunmin
    Yu, Guoyao
    Luo, Ercang
    [J]. ENERGY, 2022, 247
  • [39] Multi-objective optimal design of permanent magnet eddy current retarder based on NSGA-II algorithm
    Niu, Bowen
    Wang, Dazhi
    Pan, Pengyi
    [J]. Energy Reports, 2022, 8 : 1448 - 1456
  • [40] Optimisation of an Energy System in Finland using NSGA-II Evolutionary Algorithm
    Wahlroos, Mikko
    Jaaskelainen, Jaakko
    Hirvonen, Janne
    [J]. 2018 15TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2018,