MATLAB Implementation for DC Servo Motor Control
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Resource Overview
MATLAB source code for DC servo motor control implementation, featuring a three-closed-loop control structure with position feedback, speed feedback, and current feedback. The system employs hybrid fuzzy-PID control, which automatically switches to PID control under small deviations. This approach achieves higher steady-state accuracy than pure fuzzy control, while providing faster dynamic response and smaller overshoot compared to conventional PID control.
Detailed Documentation
The following presents MATLAB source code implementation for DC servo motor control. The servo system consists of a three-closed-loop structure incorporating position feedback, speed feedback, and current feedback. The control system utilizes a hybrid fuzzy-PID control strategy, where the algorithm automatically transitions to PID control when dealing with small deviations.
This implementation approach achieves superior steady-state accuracy compared to pure fuzzy control systems, while simultaneously offering faster dynamic response and reduced overshoot relative to standard PID control. The core algorithm likely involves fuzzy logic controllers for large-error conditions and PID controllers for fine-tuning near the target position. Key functions may include fuzzy inference system design using MATLAB's Fuzzy Logic Toolbox and PID parameter tuning through Control System Toolbox functions.
Through this hybrid control methodology, we maintain the essential control principles while achieving more detailed and comprehensive system performance. The code structure probably implements separate control loops for current regulation (inner loop), speed control (middle loop), and position control (outer loop), with smooth transition logic between fuzzy and PID control modes based on error magnitude thresholds.
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