MODEL PREDICTIVE CONTROL FOR TWIN ROTOR MIMO SYSTEM (TRMS)
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Từ khóa:
Model Predictive Control (MPC)
State parametters
Twin rotor MIMO system (TRMS)
cross-coupling channels
yaw angle (horizontal angle)
pitch angle (vertical angle)
Tóm tắt
A Twin Rotor MIMO System (TRMS) is an aerodynamic experimental system with high nonlinearity which includes two inputs, two outputs, and six states. In the world, this system has been studied and applied in reality in order to evaluate and implement the advanced control algorithms [1], [2], [3], [8], [9]. In Vietnam, although the TRMSs have been installed in some university laboratories, it is still difficult to use them for testing modern control algorithms because there is no exact mathematical model of the system. The documents and software provided on a laboratory equipment provider in the algorithm are confined to the classical PID controller. In this paper we will present the results from the application of Model Predictive Control (MPC) for TRMS based on its mathematical model we have built recently [12].
Tài liệu tham khảo
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[1] Twin Rotor MIMO System 33-220 User Manual, 1998 (Feedback Instruments Limited, Crowborough, UK).
[2] A. Rahideh, M.H. Shaheed, Mathematical dynamic modelling of a twin rotor multiple input–multiple output system, Proceedings of the IMechE, Part I. Journal of Systems and Control Engineering 221 (2007) 89–101.
[3] Ahmad, S. M., Shaheed, M. H., Chipperfield, A. J., and Tokhi, M. O, Nonlinear modelling of a twin rotor MIMO system using radial basis function networks. IEEE National Aerospace and Electronics Conference, 2000, pp. 313–320.
[4] Ahmad, S. M., Chipperfield, A. J., and Tokhi, M. O. Dynamic modelling and optimal control of a twin rotor MIMO system. IEEE National Aerospace and Electronics Conference, 2000, pp. 391–398.
[5] J. M. Maciejowski, Pridictive Control with constraints, Trentice Hall, 2002.
[6] Shaheed, M. H, Performance analysis of 4 types of conjugate gradient algorithm in the nonlinear dynamic modelling of a TRMS using feedforward neural networks, IEEE International Conference on Systems, man and cybernetics, 2004, pp. 5985–5990.
[7] Islam, B. U., Ahmed, N., Bhatti, D. L., and Khan, S, Controller design using fuzzy logic for a twin rotor MIMO system, IEEE International Multi Topic on Conference, 2003, pp. 264–268.
[8] A. Rahideh, M.H. Shaheed, state model pridictive control for a nonlinear system, Journal of the Franklin Institute 348 (2011) 1983-2004.
[9] A. Rahideh, M.H. Shaheed, constrained output feedback model predictive control for nonlinear systems, Control Engineering Practive 20 (2012) 431-443.
[10] Eduardo F. Camacho and Carlos Bordons, Model Predictive Control, Springer 2007.
[11] Liuping Wang (2008), Model predictive control system design and implemetation, Springer Verlag.
[12] Nguyen Thi Mai Huong, Mai Trung Thai, Nguyen Huu Chinh, Lai Khac Lai, Nghien cuu anh huong cua cac tham so trang thai trong he thong hai canh quat nhieu dau vao nhieu dau ra, Tap chi Khoa hoc Cong nghe – Dai hoc Thai Nguyen, 2014, so 06, tap 120, trang 87 – 92.
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Dec 31, 2014
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Cách trích dẫn
Nguyen Thi Mai Huong*; Mai Trung Thai; Nguyen Huu Chinh; Tran Thien Dung. “MODEL PREDICTIVE CONTROL FOR TWIN ROTOR MIMO SYSTEM (TRMS)”. Tạp Chí Khoa học Và Công nghệ Đại học Đà Nẵng, vol 12, số p.h 85.1, Tháng Chạp 2014, tr 39-42, https://jst-ud.vn/jst-ud/article/view/1130.
