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本文以均热炉的离散状态空间模型和最优控制理论为基础,应用作者所提出的一种处理带约束条件的最优控制问题的新算法,从理论上求解均热炉最小燃料消耗的最佳加热策略,即均热炉的最佳温度轨迹。本文的研究结果经计算机仿真,给出了均热炉操作条件与最佳加热策略的关系和应用最佳策略所能获得的经济效益。本开发方法可用于其它批量生产过程的最佳控制轨迹的综合。同时,本文的研究证明作者所开发的最优控制算法可应用于高维、非线性、时变系统最佳控制轨迹的综合。
Based on the discrete state space model and the optimal control theory of soaking furnace, this paper applies a new algorithm proposed by the authors to solve the optimal control problem with constraints, and theoretically solves the problem of the minimum fuel consumption in soaking furnace Good heating strategy, the average temperature of the stove’s best trajectory. The results of this paper are simulated by computer, and the relationship between the operating conditions of soaking furnace and the optimal heating strategy and the economic benefits that can be obtained by applying the best strategy are given. This development method can be used to synthesize the best control trajectories for other mass production processes. At the same time, the research in this paper proves that the optimal control algorithm developed by the author can be applied to the synthesis of the optimal control trajectory of high dimensional, nonlinear and time-varying systems.