A comparative study of linear control strategies on the aerodynamics twin rotor system

被引:0
作者
Adnan Qayyum Shah
Muhammad Awais
Muhammad Zafar
Ashfaq Ahmed
Muhammad Mudassar
Muhammad Muneer
Memoona Saif
Abdul Razzaq
Seong-Ho Jang
Sunhyung Kim
Youngkwon Park
机构
[1] COMSATS,Department of Electrical Engineering
[2] The University of Lahore,Department of Technology
[3] University of the Punjab,Institute of Energy and Environmental Engineering
[4] Victoria University,Institute for Sustainable Industries and Liveable Cities
[5] COMSATS University Islamabad,Department of Chemical Engineering
[6] Pusan National University,Department of Bio
[7] University of Seoul,Environmental Energy
[8] University of Seoul,Department of Environmental Horiculture
来源
Journal of Mechanical Science and Technology | 2023年 / 37卷
关键词
Pole placement; Optimal control using output feedback; Linear quadratic regulator; Twin rotor multi input multi output system;
D O I
暂无
中图分类号
学科分类号
摘要
This work presents the comparative study among pole-placement (PP), optimal-control using output-feedback (OCOF), linear-quadratic regulator (LQR), and PID controllers for the twin rotor multi-input multi-output system (TRMS). The pitch and yaw are key attributes for stabilizing the TRMS MIMO system and control of flight. The main objective of this study is to use these classical controller techniques to monitor the pitch and yaw angles of TRMS and show the result of these techniques. Simulation results depicts the actual performance and reveals how PP outperforms the other techniques.
引用
收藏
页码:4301 / 4310
页数:9
相关论文
共 32 条
[1]  
Haruna A(2017)Dual boundary conditional integral backstepping control of a twin rotor MIMO system J. Frankl. Inst. 354 6831-6854
[2]  
Tao C-W(2010)Design of a parallel distributed fuzzy LQR controller for the twin rotor multi-input multi-output system Fuzzy Sets Syst. 161 2081-2103
[3]  
Taur J-S(2012)Real time adaptive nonlinear model inversion control of a twin rotor MIMO system using neural networks Eng. Appl. Artif. Intell. 25 1289-1297
[4]  
Chen Y C(2013)h2 and h Intell. Cont Autom. 4 55-62
[5]  
Rahideh A(2016) controller design of twin rotor system (TRS) IFAC-Pap. 49 582-589
[6]  
Bajodah A H(2019)Generalized dynamic inversion based attitude control of autonomous underwater vehicles Asian J. Control 21 1237-1249
[7]  
Shaheed M H(2017)Quadrotor control via robust generalized dynamic inversion and adaptive non-singular terminal sliding mode Aircr. Eng. Aerosp. Technol 89 902-910
[8]  
Ahmad U(2018)Robust launch vehicle’s generalized dynamic inversion attitude control Proc. Inst. Mech. Eng. Part M J. Eng. Marit. Environ. 232 434-447
[9]  
Anjum W(2016)Robust generalized dynamic inversion based control of autonomous underwater vehicles Aerosp. Sci. Technol. 54 208-217
[10]  
Bukhari S M A(2017)Attitude regulation for unmanned quadrotors using adaptive fuzzy gain-scheduling sliding mode control ISA Trans. 66 233-240