A New Approach for Designing of PID Controller for a Linear Brushless DC Motor with Using Ant Colony Search Algorithm

This paper presents a ant colony search algorithm (ACSA) method for determining the optimal proportional-integral derivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence c...

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Bibliographische Detailangaben

Hauptverfasser:	Navidi, N., Bavafa, M., Hesami, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Brushless DC motors Computational efficiency Mathematical model Optimal control PD control Pi control Proportional control Three-term control Velocity control
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