针对高精高速高效温度控制由于多点测温和非对称加热工况而带来的难题，提出IGRO-PID（improved gold rush optimizer-proportional integral derivative）和多层模糊嵌套算法串级结合的新型温控算法（IGRO-FuzzyN-PID）。仿真验证IGRO算法在PID控制系统中优于CPO （crested porcupine optimizer）、IPSO（improved particle swarm optimization）、COA（crayfish optimization algorithm）、GA（genetic algorithm）算法。仿真和实验验证IGRO-FuzzyN-PID算法较单一IGRO-PID算法，在输入输出对称和非对称工况下的超调量、稳态误差、平均误差提升70.91%、70.69%、82.35%和86.89%、76.23%、86.56%。结果证明IGRO-FuzzyN-PID在输入输出对称和非对称工况下满足高精高速高效的控制需求。

Aiming at the problem of high-precision, high-speed and efficient temperature control caused by multi-point measurement and asymmetric heating condition of input and output, a new algorithm (IGRO-FuzzyN-PID) based on IGRO-PID and multi-layer fuzzy nested algorithm was proposed. Simulation results show that IGRO algorithm is superior to CPO (crested porcupine optimizer）、IPSO(improved particle swarm optimization）、COA(crayfish optimization algorithm）、GA(genetic algorithm) in PID control system. Simulation and experimental results show that compared with the IGRO-PID algorithm, the overshoot, steady-state error and average error of the IGRO-FuzzyN-PID algorithm are optimally increased by 70.91%, 70.69%, 82.35% and 86.89%, 76.23%, 86.56% under symmetric and asymmetric input and output conditions. It is proved that the proposed algorithm meets the control requirements of high precision, high speed and high efficiency under symmetric and asymmetric input and output conditions.