An approach to tune Controller parameters via Bio-inspired evolutionary optimization strategy (µ + λ)

Asani, Zemerart and Ferit, Idrizi (2018) An approach to tune Controller parameters via Bio-inspired evolutionary optimization strategy (µ + λ). JAS - SUT Journal of Applied Sciences-SUT, 4 (7-8). pp. 68-77. ISSN 2671-3047

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In this paper, we are describing an approach that can be used to solve modern control engineering problems. Controller parameters tuning is an important problem in control engineering. In industry, for optimum solutions, Proportional-Integral-Derivative (PID) controllers, have been widely used. Therefore, PID parameters optimization is an important problem in Control Systems Engineering. Tuning the controller based on an Evolutionary Strategy-ES (μ+λ), based on a criterion defined using an objective function, helps the optimal calculation of the PID controller parameters which leads to a high level of accuracy and system performance. This method converges to an optimal solution that gives us the minimum error. The designed PID with ES (μ+λ) has a fast response and gives us great results in terms of the rise time, settling time, overshoot and steady state error. Evolutionary Strategies (ES) are most commonly used to black box optimization problems in continuous search spaces inspired by biological evolution, particularly based on the Darwinian evolution. Their original formulation is based on the imitation of the nature and application of genetic operators such as mutation, recombination and selection in populations of candidate solutions. The case study confirms that great performance of the system can be achieved by the proposed method.

Item Type: Article
Subjects: A General Works > AI Indexes (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Unnamed user with email
Date Deposited: 05 Jun 2019 08:35
Last Modified: 05 Jun 2019 08:35

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