Optimization of PID Controller in AVR System by Using Ant Lion Optimizer Algorithm

被引:0
|
作者
Spoljaric, T. [1 ]
Lusetic, C. [1 ]
Simovic, V [1 ]
机构
[1] Univ Appl Sci, Zagreb, Croatia
关键词
Ant Lion Optimizer; Automatic Voltage Regulation; PID Controller;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper a novel optimization algorithm is proposed for efficient tuning of AVR controller in a closed loop generator control model. Ant lion optimizer is applied for fine tuning of PID controller parameters through model simulation and testing. A proposed algorithm uses single objective optimization method for acquiring an objective function's minimum. Several testing cases are used for simulation purposes and in all these cases a novel optimization method is compared with other swarm intelligence algorithms which have already been implemented as AVR controller optimization methods.
引用
收藏
页码:1522 / 1526
页数:5
相关论文
共 50 条
  • [41] Ant lion optimizer for optimization of finite perforated metallic plate
    Chaleshtari, Mohammad H. Bayati
    Jafari, Mohammad
    [J]. STRUCTURAL ENGINEERING AND MECHANICS, 2019, 69 (06) : 667 - 676
  • [42] Tuning PID Controller Using Multiobjective Ant Colony Optimization
    Chiha, Ibtissem
    Liouane, Noureddine
    Borne, Pierre
    [J]. APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING, 2012, 2012
  • [43] A particle swarm optimization approach for optimum design of PID controller in AVR system
    Gaing, ZL
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (02) : 384 - 391
  • [44] A Hybrid Optimization Approach to Design Optimally Tuned PID Controller for an AVR System
    Ozgenc, Busra
    Ayas, M. Sinasi
    Altas, Ismail H.
    [J]. 2ND INTERNATIONAL CONGRESS ON HUMAN-COMPUTER INTERACTION, OPTIMIZATION AND ROBOTIC APPLICATIONS (HORA 2020), 2020, : 111 - 115
  • [45] Improved Backstepping Control of a DFIG based Wind Energy Conversion System using Ant Lion Optimizer Algorithm
    Zeghdi Z.
    Barazane L.
    Bekakra Y.
    Larabi A.
    [J]. Periodica polytechnica Electrical engineering and computer science, 2022, 66 (01): : 43 - 59
  • [46] An optimal fractional order controller for an AVR system using particle swarm optimization algorithm
    Karimi-Ghartemani, Masoud
    Zamani, Majid
    Sadati, Nasser
    Parniani, Mostafa
    [J]. 2007 LARGE ENGINEERING SYSTEMS CONFERENCE ON POWER ENGINEERING, 2007, : 243 - 248
  • [47] Intelligent PID controller tuning of AVR system using GA and PSO
    Kim, DH
    Park, JI
    [J]. ADVANCES IN INTELLIGENT COMPUTING, PT 2, PROCEEDINGS, 2005, 3645 : 366 - 375
  • [48] Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm
    Micev, Mihailo
    Calasan, Martin
    Oliva, Diego
    [J]. MATHEMATICS, 2020, 8 (07)
  • [49] Optimization of PIDA controller for AVR System Using GSA
    Solanki, Arjun
    Rathore, Ankush
    [J]. PROCEEDINGS ON 2018 IEEE 3RD INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND SECURITY (ICCCS), 2018, : 236 - 239
  • [50] A novel fractional order PID plus derivative (PIλDμDμ2) controller for AVR system using equilibrium optimizer
    Tabak, Abdulsamed
    [J]. COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2021, 40 (03) : 722 - 743