Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System

被引:31
|
作者
Al-Dhaifallah, M. [1 ,2 ]
Kanagaraj, N. [1 ]
Nisar, K. S. [3 ]
机构
[1] Prince Sattam Bin Abdulaziz Univ, Coll Engn Wadi Addawasir, Elect Engn Dept, Wadi Addawasir, Saudi Arabia
[2] King Fahd Univ Petr & Minerals, Syst Engn Dept, Dhahran, Saudi Arabia
[3] Prince Sattam Bin Abdulaziz Univ, Coll Arts & Sci Wadi Addawasir, Dept Math, Alkharj, Saudi Arabia
关键词
D O I
10.1155/2018/5478781
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article presents a fuzzy fractional-order PID (FFOPID) controller scheme for a pneumatic pressure regulating system. The industrial pneumatic pressure systems are having strong dynamic and nonlinearity characteristics; further, these systems come across frequent load variations and external disturbances. Hence, for the smooth and trouble-free operation of the industrial pressure system, an effective control mechanism could be adopted. The objective of this work is to design an intelligent fuzzy-based fractional-order PID control scheme to ensure a robust performance with respect to load variation and external disturbances. A novel model of a pilot pressure regulating system is developed to validate the effectiveness of the proposed control scheme. Simulation studies are carried out in a delayed nonlinear pressure regulating system under different operating conditions using fractional-order PID (FOPID) controller with fuzzy online gain tuning mechanism. The results demonstrate the usefulness of the proposed strategy and confirm the performance improvement for the pneumatic pressure system. To highlight the advantages of the proposed scheme a comparative study with conventional PID and FOPID control schemes is made.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Efficient control of integrated power system using self-tuned fractional-order fuzzy PID controller
    Nithilasaravanan, K.
    Thakwani, Nitisha
    Mishra, Puneet
    Kumar, Vineet
    Rana, K. P. S.
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (08): : 4137 - 4155
  • [42] Design of Adaptive Fractional-Order PID Controller to Enhance Robustness by Means of Adaptive Network Fuzzy Inference System
    Arpaci, Huseyin
    Ozguven, Omerul Faruk
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2017, 19 (04) : 1118 - 1131
  • [43] On Fractional-order PID Controllers
    Edet, Emmanuel
    Katebi, Reza
    IFAC PAPERSONLINE, 2018, 51 (04): : 739 - 744
  • [44] Design of the optimal fractional order PID controller for a pneumatic control valve
    Zhu M.
    Zang Z.
    Xu Z.
    Xiao Y.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 41 (22): : 267 - 274
  • [45] Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID
    Al-Dhaifallah, Mujahed
    APPLIED SCIENCES-BASEL, 2022, 12 (14):
  • [46] Heat Exchanger Control Using Fuzzy Fractional-Order PID
    Al-Dhaifallah, Mujahed
    2019 16TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2019, : 73 - 77
  • [47] Fractional-Order Fuzzy PID for the Egyptian Load Frequency Control
    Ghany, M. A. Abdel
    Ghany, A. M. Abdel
    Bensenouci, A.
    Bensenouci, M. A.
    PROCEEDINGS OF 2016 EIGHTEENTH INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON), 2016, : 954 - 961
  • [48] Lyapunov-based fractional-order PID controller design for coupled nonlinear system
    Zaki, Hammad
    Rashid, Aamir
    Masud, Usman
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2025, 47 (06) : 1046 - 1056
  • [49] Improvement of the Qualitative Characteristics of an Automatic Control System with a Fractional-Order PID-Controller
    Zagirnyak, Mykhaylo
    Serhiienko, Serhii
    Serhiienko, Ihor
    PROCEEDINGS OF 2017 18TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING (CPEE), 2017,
  • [50] TLBO Algorithm Optimized Fractional-Order PID Controller for AGC of Interconnected Power System
    Gorripotu, Tulasichandra Sekhar
    Samalla, Halini
    Rao, Ch Jagan Mohana
    Azar, Ahmad Taher
    Pelusi, Danilo
    SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018, 2019, 758 : 847 - 855