Abstract
In this paper, a new approach has been presented based on linear search algorithm technique to tune the parameters of the proportional, integral and derivative (PID) control for a twin rotor multi-input multi-output system (TRMS). Twin rotor MIMO system is a laboratory setup of helicopter model and the proposed approach is demonstrated through this setup. The control task is to make the system to track the desired position quickly and accurately with minimum total absolute error. The mathematical modeling of helicopter model has been developed and the designed controller has been simulated using MATLAB/SIMULINK. By using proportional-integral-derivative (PID) controller the 2° of freedom (2-DOF) of TRMS have been controlled both in horizontal and vertical direction. Simulation results are obtained for different input test signals. The comparison between simulation and experimental results with the previous works illustrates the effectiveness of the proposed tuning method.
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References
Kumar, M.V., Suresh, S., Omkar, S.N., Ganguli, R., Sampath, P.: A direct adaptive neural command controller design for an unstable helicopter. Eng. Appl. Artif. Intelligance 22, 181–191 (2009)
Ahmad, S.M., Chipperfield, A.J., Tokhi, M.O.: Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-input multi-output system. Proc. IMechE Part-I J. Syst. Control Eng. 217(I3), 203–227 (2003)
Lara, D., Romero, G., Sanchez, A., Lozano, R., Guerrero, A.: Robustness margin for a four rotor mini-rotorcraft: case of study. Int. J. Mechatron. 20, 143–152 (2010)
Marconi, L., Naldi, R.: Aggressive control of helicopters in presence of parametric and dynamical uncertinities. Int. J. Mechatron. 18, 381–389 (2008)
TRMS 33-220 User Manual (1998) 3-000M5, Feedback Company, E. Sussex, U.K
Ahamad, S.M., Chipperfield, A.J., Tokhi, A.O.: Dynamic modeling and open loop control of multi input multi output system. Part I J. Syst. Control Eng. 216, 222–231 (2001)
Mondal, S., Mahanta, C.: Adaptive second-order sliding mode controller for a twin rotor multi-input–multi-output system. IET Control Theory Appl. 6(14), 2157–2167 (2012)
Wang, W.Y., Lee, T.T., Huang, H.C.: Evolutionary design of PID controller for twin rotor multi-input multi-output system. In: Proceedings of the 4th World Congress on Intelligent Control and Automation, Shanghai, P.R.China (2002)
Saeed, B.I., Mehrdadi, B.: Design of an iterative auto-tuning algorithm for a fuzzy PID controller. In; 25th International Congresson Condition Monitoring and Diagnostic Engineering, Journal of Physics: Conference Series 364 (2012)
Izvoreanu, B., Cojuhari, I.: The iterative algorithm of tuning controllers to the models object with inertia and astatism. In: 11th International Conference on Development and Application Systems, Suceava, Romania (2012)
Bunin, A.G., Bonvin, D.: Iterative controller tuning by real-time optimization. Processes Int. J. 1(2), 203–237 (2013)
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Pandey, S.K., Sahu, P., Laxmi, V. (2015). Application of Linear Search Algorithm in Control of TRMS. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2550-8_14
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DOI: https://doi.org/10.1007/978-81-322-2550-8_14
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