Abstract:

Aiming at the problem of temperature tracking and balance control of each branch pipe of the heating furnace, an improved genetic algorithm was proposed to optimize the multi?deviation control of the temperature tracking and balance of the branch pipe temperature of the heating furnace. The scheme used the temperature deviation of the raw materials of each branch pipe after mixing and the temperature deviation of each branch pipe. By adjusting the feed flow rate and fuel flow rate, it not only ensured that the flow rate of the main pipe is constant during the regulation process, but also realized the dual goal of temperature tracking and balance of each pass. Multi?passes are analyzed as a whole, so the temperature comparison of adjacent branch pipes was avoided repeatedly. At the same time, the improved genetic algorithm was used to optimize the controller parameters of the differences control technique, which overcomes the difficulty of controller parameter tuning. The simulation results show the feasibility and effectiveness of the improved genetic algorithm to optimize the differences control scheme.

Key words: Improved genetic algorithm, Heating furnace, Tracking control, Branch pipe balance, Differences control

摘要：

针对加热炉各支管温度的跟踪和平衡控制问题，提出了改进遗传算法优化多偏差控制加热炉支管温度跟踪和平衡的方案。该方案利用各支管原料混合后的温度和各支管温度的偏差，通过对进料流量和燃料流量的调控，不仅确保了调节过程中总管流量不变，而且实现了各支管温度跟踪和平衡的双重目标。同时，因为把多个支管作为一个整体来分析，所以避免了对相邻支管温度反复进行比较。利用改进遗传算法对多偏差控制技术的控制器参数进行优化，克服了控制器参数整定的困难。仿真结果表明，改进遗传算法优化多偏差控制方案具有可行性和有效性。

关键词: 改进遗传算法, 加热炉, 跟踪控制, 支管平衡, 多偏差控制