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Comparison Analysis of Model Reference Adaptive Control, Sliding Mode and PID Controller on Drum-Boiler Level | ||
International Journal of Smart Electrical Engineering | ||
دوره 12، شماره 01، اردیبهشت 2023، صفحه 61-68 اصل مقاله (858.17 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.30495/ijsee.2022.1961266.1211 | ||
نویسندگان | ||
Mohammad Maghsoudi* 1؛ Roohollah Barzamini2؛ Mehdi Siahi3؛ Payam Rabbanifar4 | ||
1PHD Student in Electrical Engineering - Control, Department of Electrical Engineering, Central Tehran, Islamic Azad University, Tehran, Iran | ||
2Assistant Professor, Department of Electrical Engineering, Central Tehran, Islamic Azad University, Tehran, Iran | ||
3Department of Electrical ، Science and Research Branch ، Islamic Azad university، Tehran ، Iran | ||
4Assistant Professor, Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. | ||
چکیده | ||
Demand for electricity generation is increasing day by day, and power stations must be able to meet these demands. There are several ways to generate power, such as thermal power plants. There are many variables in a thermal power plant boiler unit (steam unit), but the boiler drum level is one of the most important variables that has a very complex dynamics and it is necessary that the control system can keep it in a safe range. In this paper, two time-varying transfer functions are considered for the drum level (output) to water and steam (inputs). In the presence of parametric uncertainties in the model, the three controllers, Sliding Mode Controller (SMC), Model Reference Adaptive Control (MRAC) and PID Controller are compared to track the desired level of the drum-boiler to different inputs. The results show that the SMC has relatively better tracking results, but the control signal in MRAC is more optimal than the other two controllers and is more suitable for practical applications. | ||
کلیدواژهها | ||
Sliding Mode Control؛ Adaptive؛ MRAC؛ Uncertainty Model؛ Power Plant؛ Drum level | ||
آمار تعداد مشاهده مقاله: 348 تعداد دریافت فایل اصل مقاله: 133 |