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Thiết kế và tối ưu hóa bộ điều khiển Fuzzy-Pid sử dụng thuật toán di truyền để điều khiển cần cẩu trên cao
Design and optimization of a fuzzy-pid controller using a genetic algorithm for overhead crane control

Nguyễn Văn Trung, Nguyễn Văn Trung; Nguyễn Thị Phúc; Phí Thị Thanh Huyền; Đỗ Minh Hiếu
Tóm tắt
An overhead crane (OC) is an electromechanical system with nonlinear dynamics and is significantly affected by load oscillations (LO), which are commonly modeled as a double-pendulum (D-P) system. Oscillations (O) of the hook and payload (H&P) degrade trolley (T) positioning (P) accuracy and may lead to mechanical damage and safety hazards. To mitigate these limitations, a combined FLC–PID control scheme is introduced with the aim of improving the operational performance of an OC. In the proposed scheme, the fuzzy controller enhances the system’s dynamic response under large tracking errors, thereby ensuring fast positioning of the T at the desired location. The PID controller ensures system stability as the T approaches the setpoint, employing a genetic algorithm (GA) to optimize parameters for oscillation suppression and P accuracy enhancement. The effectiveness of the proposed approach is validated through MATLAB/Simulink simulations. Simulation results demonstrate improved P accuracy, significant reduction of H&P O, and fast, stable system responses.
Tệp toàn văn
Tải file : 36-47.pdf

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