Real-Time Performance Analysis of PIDD2 Controller for Nonlinear Twin Rotor TITO Aerodynamical System

被引:0
|
作者
Mahendra Kumar
Yogesh V. Hote
机构
[1] Indian Institute of Technology Roorkee,Department of Electrical Engineering
来源
关键词
Twin-rotor two-input two-output (TITO) aerodynamical system (TRAS); Proportional integral derivative double derivative (PIDD2); Modified grey wolf optimizer (MGWO); Real-time control;
D O I
暂无
中图分类号
学科分类号
摘要
Twin-rotor two-input two-output (TITO) aerodynamical system (TRAS) is a highly non-linear system with a cross-coupling effect. The objective of the controller design in TRAS is to track the trajectory of azimuth and pitch angles, reach the desired azimuth and pitch angle positions, and stabilize TRAS in the presence of significant cross-coupling. The coupling effect between the main rotor and tail rotor is a severe issue for the controller design. So, this paper proposes a proportional integral derivative double derivative (PIDD2) controller design for TRAS, first time. Further, the tuning of PIDD2 controller is carried out via a modified grey wolf optimizer (MGWO). Besides, the real-time hardware-in-loop (HIL) implementation of the PIDD2 controller with the TRAS laboratory prototype setup is carried out, first-time. Moreover, It is tested under external disturbances for robustness and effectiveness analyses. In addition, this paper performs both simulations as well as hardware results analyses. These analyses reveal that the experimental results are found to match closely with simulation results. Finally, the efficacy of the proposed control design approach is presented by comparing it with the recently published controldesign schemes.
引用
收藏
相关论文
共 50 条
  • [21] Neural Network Based Adaptive Nonlinear Model Inversion Control of a Twin Rotor System in Real Time
    Rahideh, Akbar
    Shaheed, M. Hasan
    Bajodah, Abdulrahman H.
    PROCEEDINGS OF THE 2008 7TH IEEE INTERNATIONAL CONFERENCE ON CYBERNETIC INTELLIGENT SYSTEMS, 2008, : 281 - +
  • [22] Clustering and Real-Time Analysis of Robot Controller Based on System on Chip
    He, Jilin
    Yuan, Zheng
    He, Qinghua
    MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 3797 - 3804
  • [23] Design, analysis, and real-time testing of a controller for multibus microgrid system
    Li, YW
    Vilathgamuwa, DM
    Loh, PC
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2004, 19 (05) : 1195 - 1204
  • [24] Analysis on real-time performance of Linux embedded system
    Zhao, Mingfu
    Li, Taifu
    Chen, Hongyan
    Hu, Xinyu
    Jisuanji Gongcheng/Computer Engineering, 2003, 29 (18):
  • [25] Implementation and Analysis of Nonlinear Model Predictive Controller on Embedded Systems for Real-Time Applications
    Adhau, Saket
    Patil, Sayli
    Ingole, Deepak
    Sonawane, Dayaram
    2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, : 3359 - 3364
  • [26] Real time adaptive nonlinear model inversion control of a twin rotor MIMO system using neural networks
    Rahideh, A.
    Bajodah, A. H.
    Shaheed, M. H.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 25 (06) : 1289 - 1297
  • [27] CONTROLLER ANALYSIS IN REAL-TIME HYBRID MODEL TESTING OF AN OFFSHORE FLOATING SYSTEM
    Vilsen, Stefan A.
    Sauder, Thomas
    Fore, Martin
    Sorensen, Asgeir J.
    PROCEEDINGS OF THE ASME 37TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2018, VOL 7B, 2018,
  • [28] Real-time robust generalized dynamic inversion based optimization control for coupled twin rotor MIMO system
    Abbas, Nadir
    Pan, Xuejun
    Raheem, Abdur
    Shakoor, Rabia
    Arfeen, Zeeshan Ahmad
    Rashid, Muhammad
    Umer, Farhana
    Safdar, Nouman
    Liu, Xiaodong
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [29] Real-time robust generalized dynamic inversion based optimization control for coupled twin rotor MIMO system
    Nadir Abbas
    Xuejun Pan
    Abdur Raheem
    Rabia Shakoor
    Zeeshan Ahmad Arfeen
    Muhammad Rashid
    Farhana Umer
    Nouman Safdar
    Xiaodong Liu
    Scientific Reports, 12
  • [30] DESIGN AND REAL-TIME TESTING OF A NEURAL MODEL-PREDICTIVE CONTROLLER FOR A NONLINEAR-SYSTEM
    VANCAN, HJL
    TEBRAAKE, HAB
    HELLINGA, C
    KRIJGSMAN, AJ
    VERBRUGGEN, HB
    LUYBEN, KCAM
    HEIJNEN, JJ
    CHEMICAL ENGINEERING SCIENCE, 1995, 50 (15) : 2419 - 2430