University of Isfahan Computational Intelligence in Electrical Engineering 2821-0689 12 4 2021 12 22 Adaptive Nonlinear Control of Outlet Oil Temperature of a Distributed Solar Collector Field in Presence of Environment Disturbances Adaptive Nonlinear Control of Outlet Oil Temperature of a Distributed Solar Collector Field in Presence of Environment Disturbances 89 102 26689 10.22108/isee.2022.132335.1538 FA Niloufar Maleki Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran Mahdi Khodabandeh Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran Mohammad Soofi Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran Journal Article 2022 01 15 In this paper, a high-performance controller is proposed for distributed solar collector field as the smooth signal control of this controller can achieve a fast response and low chattering. The purpose of this research is to adjust the outlet oil temperature of the collectors, despite the influence of uncertainties such as the impossibility to manipulate the primary energy source (unlike fossil power plants), variable oil temperature along the tube line, and the dirty surface of the mirrors as well as variable atmospheric conditions such as cloudy weather, air pollution, air humidity, and variations in sunlight. The main part of this paper is the presentation of a nonlinear controller for tracking the reference temperature value and adjusting the outlet oil temperature. For resolving distortion and chattering in the control signal, an adaptive controller is used to adjust the control parameters. The very smooth and well-adjusted control signal is the strength of this controller that can be practically applied to a linear parabolic solar power plant. Finally, while changes in solar radiation are considered a disturbance, the designed controller performance is studied in reference trajectory tracking and the results are presented in comparison to the non-adaptive nonlinear control. In this paper, a high-performance controller is proposed for distributed solar collector field as the smooth signal control of this controller can achieve a fast response and low chattering. The purpose of this research is to adjust the outlet oil temperature of the collectors, despite the influence of uncertainties such as the impossibility to manipulate the primary energy source (unlike fossil power plants), variable oil temperature along the tube line, and the dirty surface of the mirrors as well as variable atmospheric conditions such as cloudy weather, air pollution, air humidity, and variations in sunlight. The main part of this paper is the presentation of a nonlinear controller for tracking the reference temperature value and adjusting the outlet oil temperature. For resolving distortion and chattering in the control signal, an adaptive controller is used to adjust the control parameters. The very smooth and well-adjusted control signal is the strength of this controller that can be practically applied to a linear parabolic solar power plant. Finally, while changes in solar radiation are considered a disturbance, the designed controller performance is studied in reference trajectory tracking and the results are presented in comparison to the non-adaptive nonlinear control. https://isee.ui.ac.ir/article_26689_a752856712ac5f1e8558c8d927fdf8fd.pdf