Tuning of PID controller based on Quantum Ant Colony Optimization

چکیده مقاله

The Proportional-Integral-Derivative (PID) controllers are one of the most popular controllers used in industry because of their remarkable effectiveness, simplicity of implementation and broad applicability. PID tuning is the key issue in the design of PID controllers and most of the tuning processes are implemented manually resulting in difficulty and time consuming. To enhance the capabilities of traditional PID parameters tuning techniques, modern heuristics approaches, such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), are employed recent years .This paper proposes a Quantum Ant Colony Optimization (QACO) algorithm for tuning fuzzy PID controllers

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