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- Title
Performance Evaluation of a 2DOF_PID Controller Using Metaheuristic Optimization Algorithms.
- Authors
Enad, Mahmood H.; Hassan, Raaed Faleh; Mahmoud, Ali A. Khaleel; Humaidi, Amjad Jaleel
- Abstract
This paper explores the advantages of the Two Degree of Freedom Proportional-Integral-Derivative (2DOF_PID) controller in tracking the reference signal and rejecting the disturbance signal at the same time. Three types of metaheuristic optimization algorithms are employed for tuning the controller's parameters which are Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Dragonfly Algorithm (DA). These three algorithms have in common that they combine the exploratory concept (global search) and the exploitative concept (local search) in order to reach the optimal global solution. The effectiveness of these algorithms was taken advantage of to improve the performance of the control system that contains the controller. Second and third order plants were adopted for the purpose of testing, evaluating, and comparing the performance of the control system. This aim was accomplished by using each of the optimization algorithms for each plant. The simulation results showed the superiority of the DA in terms of obtaining the lowest value of the Integral Absolute Error (IAE) as the cost function.
- Subjects
OPTIMIZATION algorithms; PID controllers; PARTICLE swarm optimization; COST functions; METAHEURISTIC algorithms; GENETIC algorithms
- Publication
Journal Européen des Systèmes Automatisés, 2024, Vol 57, Issue 3, p709
- ISSN
1269-6935
- Publication type
Article
- DOI
10.18280/jesa.570308