| The cultivation of cash crops in agricultural greenhouses places stringent demands on fruit quality. Temperature within the greenhouse is a key environmental factor influencing crop growth, directly affecting yield and quality. Proper temperature regulation is crucial for ensuring the healthy development of crops. To address the characteristics of large time delay and high inertia in greenhouse temperature control systems, an adaptive fuzzy PID control method was designed. Based on the temperature values detected by sensors, the temperature deviation (e) and its rate of change (ec) were analyzed. Using an expert-based empirical model, the control parameters were adjusted, allowing real-time tuning of the PID parameters to achieve control with short delay, low inertia, and minimal overshoot. Even with the introduction of step disturbances, the system maintained strong temperature regulation performance. Through modeling and simulation in MATLAB, as well as comparative analysis with conventional PID control methods, it was verified that the adaptive fuzzy PID controller achieves faster dynamic response, smaller overshoot and stronger disturbance rejection, demonstrating superior temperature control performance. Experimental results confirm that the adaptive fuzzy PID control has both theoretical and practical value for promoting healthy crop growth and achieving high-quality yields. |
