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作者曾用线性规划单纯形算法对有约束多变量控制系统最优控制规律的离线仿真研究作了一些工作,得到了满意的控制结论。但由于单纯形算法需用计算机存贮容量较大,占用主机的时间也会相应增加,使得这一方法用于实时控制时会带来困难。在单纯形算法的基础上,作者提出一种简化的线性规划算法,为在小型计算机上甚至微型机上实现过程实时控制提供了可能性。本方法对具有纯滞后、双输入、双输出有约束的高阶系统进行了最优控制的仿真计算,结果与单纯形算法一致,而所需计算机容量及占用主机时间却大大减少。
The author has made some work on the offline simulation of the optimal control law of the constrained multivariable control system by using the linear programming simplex algorithm and obtained the satisfactory control conclusion. However, as the simplex algorithm requires a larger storage capacity of the computer, the occupation time of the host computer also increases correspondingly, making this method difficult for real-time control. Based on the simplex algorithm, the authors propose a simplified linear programming algorithm that provides the possibility of real-time process control on a small computer or even a microcomputer. The proposed method performs an optimal control simulation of a high-order system with constraints of pure delay, double input and double output. The result is consistent with the simplex algorithm, and the required computer capacity and host time are greatly reduced.