LQGi/LTR controller with integrators and feedforward controller applied to a Twin Rotor MIMO System

被引:2
作者
Abderrahmene, Senoussaoui [1 ]
Mohamed, Chenafa [2 ]
Mustapha, Ahraoui [3 ]
Abderrahmene, Kacimi [2 ]
Rachida, Houcine [1 ]
机构
[1] Univ Sci & Technol Oran Mohamed Boudhiaf, Dept Automat, Bir El Djir, Algeria
[2] LAAS Natl Polytech Sch Oran Maurice Audin, ENPO, Oran, Algeria
[3] Univ Mustapha Stambouli Mascara, Mascara, Algeria
来源
PRZEGLAD ELEKTROTECHNICZNY | 2021年 / 97卷 / 04期
关键词
Linear Quadratic Gaussian; loop transfert recovery; Kalman filter; Twin Rotor MIMO System; Integrator; ROBUSTNESS;
D O I
10.15199/48.2021.04.08
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
This paper presents a comparison between LQGi and LQGi/LTR control of a Twin Rotor MIMO System (TRMS)(made by feedback instrument company). The Linear Quadratic Gaussian (LQG) means a linear quadratic regulator with KALMAN filter. LQG/LTR is an LQG controller with Loop Transfer Recovery. For both we introduced an integrator to deal with steady state errors and disturbances. A feed forward controller has been added to improve the tracking performances of the system. The results are in simulation and in real time
引用
收藏
页码:48 / 53
页数:6
相关论文
共 19 条
  • [1] Alazard D., REGULATION LQ LQG
  • [2] Andani MT, 2018, 2018 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC)
  • [3] Angelico Bruno A, 2016, 2016 IEEE C CONTR AP
  • [4] [Anonymous], 2015, USING LQG LTR OPTIM, V3, P1
  • [5] [Anonymous], TWIN ROTOR MIMO SYST
  • [6] Azar A.T., 2020, ADV INTELLIGENT SYST, V1058
  • [7] ROBUSTNESS WITH OBSERVERS
    DOYLE, JC
    STEIN, G
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1979, 24 (04) : 607 - 611
  • [8] Jin YC, 2003, LECT NOTES COMPUT SC, V2632, P237
  • [9] Mascaro Palliser R., 2017, HINDAWI MATH PROBLEM
  • [10] Mustafa Ghulam, LQG LTR BASED CONTRO