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根据满意控制中实时规划的要求,利用内点和积极约束集条件,提出了一种新的优化算法.该算法使用等式约束二次规划变更指标沿积极约束边界搜索,可在计算中任何时候得到可行解,并较快得到最优解.利用该算法对乙醇分离过程进行了满意控制系统仿真,结果表明,该算法行之有效,易于工程实现
According to the requirements of real-time planning in satisfaction control, a new optimization algorithm is proposed by using the interior point and positive constraint set conditions. The algorithm uses equality constrained quadratic programming to change the index to search along the boundary of the positive constraint, and the feasible solution can be obtained at any time in the calculation and the optimal solution can be obtained quickly. Satisfactory control system simulation of ethanol separation process is carried out by using this algorithm. The results show that this algorithm is effective and easy to implement