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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، تابستان 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
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| 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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آمار تعداد مشاهده مقاله: 785 تعداد دریافت فایل اصل مقاله: 254 |
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