Multi-condition oriented fuzzy adaptive control for aero-space thermal-structural test
摘要
Aerospace thermal-structural tests encounter temperature control challenges from nonlinearity, time-varying dynamics, thermal inertia, and diverse test articles, causing excessive overshoot and slow response under PID. This paper proposes a novel fuzzy adaptive algorithm integrating three mechanisms: real-time fuzzy PID tuning for online parameter optimization; a preemptive strategy limiting output amplitude when temperature reaches 90 % and 110 % of the setpoint trajectory to counteract quartz lamp inertia and Logistic-based variable-speed integration to eliminate steady-state error without windup. High-fidelity models were developed: a silicon-controlled rectifier empirical model, a transfer function with time delay for the quartz lamp heater, and a lumped parameter model for test articles. Simulations on steel and aluminum plates demonstrated superiority: overshoot reduced by 69.3 to 87.8 %, settling time shortened by 8.8 to 57.9 %, and mean absolute error lowered by 87.0 to 89.7 % versus PID. The solution enables precise, adaptive control for diverse aerospace thermal tests.