Optimized PIDD2 controller for AVR systems regarding robustness

被引:19
|
作者
Veinovic, Slavko [1 ,2 ]
Stojic, Djordje [2 ]
Ivanovic, Luka [1 ,2 ]
机构
[1] Univ Belgrade, Sch Elect Engn, 73 Kralja Aleksandra, Belgrade 11000, Serbia
[2] Univ Belgrade, Elect Inst Nikola Tesla, Automation & Control Dept, 8a Koste Glavin, Belgrade 11000, Serbia
关键词
Second order derivative controller; Constrained optimization; Sensitivity functions; Noise sensitivity; Load disturbance rejection; DESIGN; PI; FILTER; RULES;
D O I
10.1016/j.ijepes.2022.108646
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The novel method for tuning proportional-integral-derivative controller with second order derivative term (PIDD2) for the automatic voltage regulator (AVR) of synchronous generator is presented. The design method minimizes load disturbance response regarding constraints on sensitivity functions: maximum sensitivity Ms, maximum complementary sensitivity Mp and measurement noise sensitivity Mn. Simple solution is obtained by shifting PIDD2 controller in a new parameter space and by employing an iterative procedure. In each iteration the five controller parameters are obtained by solving the constrained optimization problem concerning sensi-tivities Ms and Mn for the fixed value of controller zeros damping factor xi. The robustness index Mp is calculated subsequently. In that manner, maximum of complementary sensitivity Mp is met by means of auxiliary parameter xi. The performance improvements are achieved in comparison with traditional PID controller, while robustness is retained. Further, the comparison is made with an optimization method using amplitude optimum principle that also minimizes load disturbance response with different optimality criterion. Experiments are carried out on a small lab synchronous generator setup in order to demonstrate practical potential in real noisy environment of the proposed method and to justify the increased order of AVR controller.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Robust Control of Frequency Variations for a Multi-Area Power System in Smart Grid Using a Newly Wild Horse Optimized Combination of PIDD2 and PD Controllers
    Khudhair, Mohammed
    Ragab, Muhammad
    AboRas, Kareem M.
    Abbasy, Nabil H.
    SUSTAINABILITY, 2022, 14 (13)
  • [22] Intelligent particle swarm optimized fuzzy PID controller for AVR system
    Mukherjee, V.
    Ghoshal, S. P.
    ELECTRIC POWER SYSTEMS RESEARCH, 2007, 77 (12) : 1689 - 1698
  • [23] Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System
    Blondin, M. J.
    Sicard, P.
    Pardalos, P. M.
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2019, 163 : 168 - 182
  • [24] Robustness of an optimized fuzzy logic controller to plant variations
    Zadeh, Hossein S.
    Wharington, John
    Drack, Lorenz
    2006 IEEE AEROSPACE CONFERENCE, VOLS 1-9, 2006, : 2855 - +
  • [25] 考虑风机虚拟惯性的预测优化PIDD2自动发电控制方法
    赵熙临
    林震宇
    付波
    何莉
    方娜
    现代电力, 2020, 37 (01) : 66 - 73
  • [26] Robustness Analysis of an Optimized Controller via Particle Swarm Algorithm
    Soon, Chong Chee
    Ghazali, Rozaimi
    Jaafar, Hazriq Izzuan
    Hussein, Syarifah Yuslinda Syed
    Rozali, Sahazati Md.
    ADVANCED SCIENCE LETTERS, 2017, 23 (11) : 11187 - 11191
  • [27] Assessment of the performance and robustness of a new PID tuning technique for AVR systems
    Uniyal, Ishita
    Thakur, Padmanabh
    Saini, Parvesh
    INTERNATIONAL JOURNAL OF MODELLING AND SIMULATION, 2024,
  • [28] Design of an optimized fractional high-order differential feedback controller for an AVR system
    Mustafa Sinasi Ayas
    Electrical Engineering, 2019, 101 : 1221 - 1233
  • [29] Design of an optimized fractional high-order differential feedback controller for an AVR system
    Ayas, Mustafa Sinasi
    ELECTRICAL ENGINEERING, 2019, 101 (04) : 1221 - 1233
  • [30] Comparative Study of AVR Control Systems Considering a Novel Optimized PID-Based Model Reference Fractional Adaptive Controller
    Omar, Othman A. M.
    Marei, Mostafa I.
    Attia, Mahmoud A.
    ENERGIES, 2023, 16 (02)