控制理论与应用2017，Vol.34Issue(7)：956-964,9.DOI:10.7641/CTA.2017.60906
自适应扰动估计的相关积分优化方法及应用
Correlation integral optimization method and application in adaptive disturbance estimation
摘要
Abstract
In view of the traditional correlation integral algorithm, when the system disturbances are correlative with the decision variables, objective function can not converge to the optimal value in the process of iterative optimization. In this work, an improved method of correlation integral optimization is proposed. Based on the steady data driven model, an adaptive disturbance estimator is constructed to estimate the mean values of the disturbances and compensate the gradient values obtained by the traditional least square method. Based on the correlation integral optimization method, the modified optimization variables can be obtained to ensure the convergence of the optimization process. The simulation and industrial application results have verified the feasibility and effectiveness of the proposed method.关键词
稳态优化/相关积分/梯度估计/扰动估计/自适应Key words
steady-state optimization/correlation-integration/gradient estimation/disturbance estimation/adaptive algorithm分类
信息技术与安全科学引用本文复制引用
陈杰,赵众..自适应扰动估计的相关积分优化方法及应用[J].控制理论与应用,2017,34(7):956-964,9.基金项目
北京市自然科学基金项目(4172044)资助. Supported by Beijing Natural Science Foundation (4172044). （4172044）
