【摘要】 针对电阻加热炉温度控制系统存在的稳态精度低、调节时间长及固有的非线性、大时滞和低智能化等问题，设计一种算法优化的智能温度控制系统.该系统采用基于粒子群优化算法的模糊PID控制策略(PSO-Fuzzy-PID)实现对电阻加热炉温度的精确调控.经Matlab仿真分析，PSO-Fuzzy-PID控制器精度高、超调量小、调节时间短且抗干扰能力强，相较于传统PID控制器，其超调量减少45.18%,调节时间缩短37.5 s,稳态误差减少0.021.该系统可实现高精度、低时延的炉温控制，具有一定的工程应用价值.更多还原

【Abstract】 In response to the deficiencies in the temperature control systems of resistance heating furnaces-characterized by low steady-state accuracy, extended adjustment durations, inherent nonlinearity, significant time delays, and limited intelligence, an optimized intelligent temperature control system was developed. This system employed a particle swarm optimization based fuzzy proportional integral derivative control strategy, referred to as PSO-Fuzzy-PID, which facilitated more precise regulation of furnace temperature. Through Matlab simulation analysis, the PSO-Fuzzy-PID controller achieved enhanced control accuracy while minimizing overshoot and reducing adjustment durations while exhibiting superior anti-interference capabilities. Compared to traditional PID controllers, this system demonstrated a 45.18% reduction in overshoot, 37.5 s decrease in adjustment durations, and a reduction of 0.021 in steady-state error. Consequently, this system facilitated high precision and low latency temperature control for furnaces, demonstrating significant value for engineering application.更多还原