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a Designeprocedure of an intelligent control software for a combustion process is disscussed in this paper. An expert system in process control is formed to meet the needs of multi-task in a combustion process. This system can synthesize both running and history data, choose the control strategy, and automatically adjust the structure and tuns the parameters of an intelligent controller so that the quality indexes of this system are improved. 本文讨论了用于燃烧过程的智能控制器的设计思想。为该过程的智能控制构造了满足多目标要求的过程控制专家系统。该控制系统可根据多个运行参数的现行及历史数据,练合分析,制定控制策略,并按照被控参数的实际变化,对控制器的结构和参数不断进行自适应调整,从多方面改善系统的品质指标。 This paper deal with the mathematical model, adaptive control algorithms for the temperature control of the annealing furnaces. In order to increase the robustness of the control system, an intelligent controller is also introduced. With a comprehensive control strategy, real time control results indicate that the control deviation and temperature distribution uniformity in furnaces are less than +3℃ which is much better than that of PID regulator. 本文结合轧辊退火炉计算机温度智能自适应群控系统,研究了被控对象的数学模型、自适应控制算法、智能控制器设计及有关控制结果.所提出的控制算法,一种为PID自校正调节器(PIDSTR),另一种为输入输出维数不等的多变量极点配置自校正预测控制器(MPSTPC).智能控制器采用产生式结构,参与过程的复合调节.实控结果表明,系统鲁棒性增强,跟踪和调节性能好,控温偏差和炉内温度场不均匀度均在±3℃以内. The idea for an expert system approach to the computer aided design of intelligent controllers (ESCAD1C) is discussed and the idea of two step modelling of an intelligent controller is presented on the basis of emulating human control behaviours to solve complex problems. The structure, functions and characteristics of ESCADTC system , and the design procedures of intelligent controllers are gived. The knowledge base and simulating functions for designing intelligent controllers are also described. 对智能控制器CAD专家系统的设计思想进行了探索,模仿人在解决复杂问题时的行为功能,提出了辅助设计的二步模型化思想,并介绍了该系统的结构、功能概况、特点、智能控制器的设计过程、系统知识库的内容及模型仿真功能。
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