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针对线性高斯二次型(LQG)基准在经济性能评估算法中不可达问题,提出基于模型预测控制(MPC)结构评价基准的经济性能评估算法。该算法利用扰动简化的过程模型设计控制器,真实的过程模型用来计算带有输入输出方差约束的MPC性能曲线,并以此建立经济性能评估优化命题,在对优化结果分析讨论的基础上得到经济性能评价结果,有效的避免了因模型差异带来的计算误差,仿真结果表明了该算法更具可达性。
Aiming at the unreachable problem of linear Gaussian quadratic (LQG) benchmark in economic performance evaluation algorithm, an economic performance evaluation algorithm based on model predictive control (MPC) structure evaluation benchmark is proposed. The algorithm designs the controller by using the perturbed simplified process model. The real process model is used to calculate the MPC performance curve with the variance of input and output variance. Based on this, the optimal proposition of economic performance evaluation is established. Based on the analysis and discussion of the optimization results, The economic performance evaluation results can effectively avoid the calculation error caused by the model differences. The simulation results show that the algorithm is more reachable.