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http://dx.doi.org/10.5916/jkosme.2015.39.6.633

GA-Based Design of a Nonlinear PID Controller and Application to a CSTR Process  

Lee, Joo-Yeon (Department of Convergence Study on the Ocean Science and Technology, Korea Marine and Ocean University)
So, Gun-Baek (Department of Convergence Study on the Ocean Science and Technology, Korea Marine and Ocean University)
Lee, Yun-Hyung (Education and Research Team, Korea Institute of Maritime and Fisheries Technology)
So, Myung-Ok (Department of Marine Engineering, Korea Maritime and Ocean University)
Jin, Gang-Gyoo (Division of IT, Korea Maritime and Ocean University)
Abstract
Several complex processes that are employed in industries, such as shipping, power plants, and the petrochemical industry, involve time-varying behavior as well as strong nonlinear behavior during operation. The fixed-parameter proportional-integral-derivative (PID) controllers have difficulty in dealing with control problems that occur in such processes. In this paper, we propose a method of designing a nonlinear PID controller for industrial processes that exhibit a large number of nonlinearities and time-varying behavior. The gains of the nonlinear PID controller are characterized by a simple nonlinear function of the error and/or error rate depending on the process set-point and output. We tune the user-defined parameters using a genetic algorithm by minimizing the integral of time absolute error (ITAE) index. We verify the effectiveness of the proposed method by performing a comparison of the proposed method and two other nonlinear and adaptive methods that are employed for reference tracking, disturbance-rejection performances, and robustness to parameter changes on a continuously stirred tank reactor.
Keywords
Nonlinear gain; Nonlinear PID controller; Genetic algorithm; Continuously stirred tank reactor;
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