Research on Gate Opening Control Based on Improved Beetle Antennae Search.

Area of Science:

• Electrical Engineering
• Control Systems
• Computational Intelligence

Background:

• Traditional gate opening control systems suffer from slow response and low precision.
• Direct current (DC) motor control is crucial in various industrial applications.
• Fuzzy proportional integral derivative (PID) controllers offer improved control but require precise parameter tuning.

Purpose of the Study:

• To develop a novel DC motor control approach using an enhanced beetle antennae search (BAS) algorithm.
• To optimize the parameters of a fuzzy PID controller for improved performance.
• To evaluate the effectiveness of the proposed control strategy against conventional methods.

Main Methods:

• Formulation of the mathematical model for the DC motor drive system.
• Optimization of fuzzy PID controller parameters using an enhanced BAS algorithm.
• Software simulation for analyzing system response time and overshoot.
• Comparative analysis with traditional BAS, particle swarm optimization (PSO), and enhanced PSO algorithms.

Main Results:

• The proposed enhanced BAS-tuned fuzzy PID controller demonstrated superior performance.
• Reduced oscillations and accelerated convergence were observed compared to other methods.
• The system exhibited improved response time and precision.

Conclusions:

• The enhanced BAS algorithm effectively optimizes fuzzy PID controller parameters for DC motor control.
• The proposed method offers a significant improvement over traditional control strategies.
• This approach provides a viable solution for precise and efficient DC motor control.