SIMULATION OF HYDRAULIC TRANSPLANTING ROBOT CONTROL SYSTEM BASED ON FUZZY PID CONTROLLER
Abstract
The proposed control method based on fuzzy PID control strategy aims to improve the output accuracy of the transplanting manipulator by addressing the interference of external factors in the hydraulic seedling picking-up system's displacement tracking. A fuzzy PID controller capable of online PID parameter adjustment is designed by combining fuzzy control theory and PID control theory. The control system is simulated using MATLAB/Simulink, and the control effects of conventional PID control and fuzzy PID control are compared. The simulation results indicate that the fuzzy PID control strategy outperforms the conventional PID control strategy in terms of response time, achieving a stable state in 2.2 seconds compared to 5 seconds for the conventional PID control strategy under the same conditions. It is great to know that the proposed control method based on fuzzy PID control has resulted in a 56% improvement in the system's step response signal time. This improvement demonstrates that the control method is effective in improving the output accuracy of the transplanting manipulator by mitigating the effects of external factors on the hydraulic seedling picking-up system. However, it is important to note that the effectiveness of the control method may depend on several factors such as the complexity of the system, the precision required, and the environment in which the system operates. Therefore, it is recommended to conduct further testing and analysis to evaluate the control method's performance under different conditions and scenarios..
Keywords
Agricultural equipment, Transplanting, Intelligent control, and Fuzzy PID.