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铝板轧制过程的控制是板材生产过程自动化中的重要环节。针对该过程,本文提出一种人工代谢算法。通过算法中的人工酶对轧制过程进行辨识,通过建立代谢平衡方程对控制目标进行优化,通过对代谢方程中的反应速率、平衡常数和抑制因子进行调节来获取实时的控制优化值,建立一个分布式离散事件系统来对系统进行监控,并通过控制实例说明了该算法的优越性。所提出的控制系统成功地应用于某铝材厂的铝板轧制过程,节约了时间成本,提高了生产效益。
Aluminum plate rolling process control is an important part of the automated production process. In view of this process, this paper proposes an artificial metabolic algorithm. The artificial enzyme in the algorithm is used to identify the rolling process, the control objective is optimized through the establishment of the metabolic balance equation, the real-time control optimization value is obtained by adjusting the reaction rate, the equilibrium constant and the inhibition factor in the metabolic equation, and a Distributed discrete event system to monitor the system, and illustrates the superiority of the algorithm by controlling the instance. The proposed control system is successfully applied to the rolling process of aluminum sheet in an aluminum factory, saving the time cost and improving the production efficiency.