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Tavakoli, Saeed, Fasih, Hamid, Sadeghi, Jafar, Torabi, Hamed. (1398). Kalman Filter-Smoothed Random Walk Based Centralized Controller for Multi-Input Multi-Output Processes. نشریه علمی دانشگاه سیستان و بلوچستان, 2(2), 155-166. doi: 10.22111/ieco.2018.26166.1067
Saeed Tavakoli; Hamid Fasih; Jafar Sadeghi; Hamed Torabi. "Kalman Filter-Smoothed Random Walk Based Centralized Controller for Multi-Input Multi-Output Processes". نشریه علمی دانشگاه سیستان و بلوچستان, 2, 2, 1398, 155-166. doi: 10.22111/ieco.2018.26166.1067
Tavakoli, Saeed, Fasih, Hamid, Sadeghi, Jafar, Torabi, Hamed. (1398). 'Kalman Filter-Smoothed Random Walk Based Centralized Controller for Multi-Input Multi-Output Processes', نشریه علمی دانشگاه سیستان و بلوچستان, 2(2), pp. 155-166. doi: 10.22111/ieco.2018.26166.1067
Tavakoli, Saeed, Fasih, Hamid, Sadeghi, Jafar, Torabi, Hamed. Kalman Filter-Smoothed Random Walk Based Centralized Controller for Multi-Input Multi-Output Processes. نشریه علمی دانشگاه سیستان و بلوچستان, 1398; 2(2): 155-166. doi: 10.22111/ieco.2018.26166.1067

Kalman Filter-Smoothed Random Walk Based Centralized Controller for Multi-Input Multi-Output Processes

International Journal of Industrial Electronics Control and Optimization
مقاله 15، دوره 2، شماره 2، تیر 2019، صفحه 155-166    اصل مقاله (784.94 K)
نوع مقاله: Research Articles
شناسه دیجیتال (DOI): 10.22111/ieco.2018.26166.1067
نویسندگان
Saeed Tavakoli* 1؛ Hamid Fasih1؛ Jafar Sadeghi2؛ Hamed Torabi1
1University of Sistan and Baluchestan
2Center of Process Integration and Control (CPIC), Department of Chemical Engineering, University of Sistan and Baluchestan, Zahedan, PoBox: 98135-987 Iran
چکیده
In this paper, a novel centralized controller is presented to control multi-input multi-output industrial processes with heavy interactions and significant time-delays. The system model equations are represented in a non-minimal stochastic state-space form. Also, the state and measurement equations respectively use smoothed random walk model and finite impulse response model of the plant. To design the controller, a quadratic cost function is considered. A standard Kalman filter algorithm is used to estimate the state vector of the controller and solve to the discrete algebraic Riccati equation simultaneously. By using the smoothing parameter, the controller behavior can be changed between the Kalman filter random walk controller and the Kalman filter integrated random walk controller. To evaluate the effect of the smoothing parameter the proposed controller is first applied to a single input single output system. Then an industrial-scale polymerization reactor which has the two-input and two-output system is used to investigate the performance of the designed controller. The simulation results indicate that the controller has a good performance in tracking the set point and robust due to changing the system parameters.
کلیدواژه‌ها
Centralized controller؛ Industrial-scale polymerization reactor؛ Kalman filter algorithm؛ Multi-input multi-output process
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