Abstract
Facing the problem of having trouble building an exact mathematical model for aerodynamic heat simulation heating system (AHSHS), the conventional PID is considered to have the characteristics of simple operation, easy parameter adjustment, and high accuracy, but it is sensitive to external disturbances and has a poor anti-interference ability. In this paper, the fuzzy PID scheme for AHSHS is introduced to conquer the above problems. Firstly, the affiliation functions are constructed according to the system output errors and deviation variations. Next, the fuzzy rule table is designed, and the parameter autotune of PID is implemented utilizing both fuzzy inference and inverse fuzzification. Finally, comparative analysis through simulation verifies that the fuzzy PID scheme is more advantageous.
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