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用线性规划单纯形算法对有约束多变量控制系统的最优控制规律的离线仿真研究,得到一些令人满意的控制结论。但由于单纯形算法需用计算机存贮容量较大,以及计算机CPU时间也会相应增长,这就使得这方法进一步用于实时控制时会带来困难。 在单纯形算法的基础上,提出了一种简化的线性规划算法,从而为在小型计算机上,甚至在微处理机上实现对过程的实时控制提供了可能性的条件。本方法对具有纯滞后的、双输入、双输出具有约束的高阶系统进行了最优控制的仿真计算,结果与原单纯形算法一致,而所需计算机容量及计算机CPU时间却大大减少。
The linear programming simplex algorithm is used to simulate the optimal control law of constrained multivariable control system, and some satisfactory control conclusions are obtained. However, the simplex algorithm requires a large storage capacity of the computer and a corresponding increase of the CPU time of the computer, which further causes difficulties in using this method for real-time control. Based on the simplex algorithm, a simplified linear programming algorithm is proposed, which provides the possibility for real-time control of the process on a small computer and even on a microprocessor. The proposed method performs the optimal control simulation of a high-order system with both lag, double-input and dual-output constraints. The result is consistent with the original simplex algorithm, while the required computer capacity and CPU time are greatly reduced.