Optimized Disturbance Weighting for Robust System Design under Parameter Uncertainties

机译：参数不确定性下的鲁棒系统设计优化扰动权重

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We propose a control system design optimization that is robust with respect to product manufacturing tolerances. To achieve an optimal performance and robust controller design, we model plant parameter tolerances as structured uncertainty and compute the worst case perturbed plant by solving a constrained nonlinear optimization problem. The mixed sensitivity robust design optimization is improved by fitting the weighting transfer function to the worst case perturbed response. A DC motor control is utilized to compare and evaluate the system performance and robustness of several design approaches. Furthermore, we defined a reliable index for robustness evaluation of control system designs.

机译：我们提出了一种针对产品制造公差具有鲁棒性的控制系统设计优化。为了获得最佳性能和鲁棒的控制器设计，我们将工厂参数公差建模为结构化不确定性，并通过解决约束非线性优化问题来计算最坏情况下的摄动工厂。通过将加权传递函数拟合到最坏情况的扰动响应，可以改善混合灵敏度的鲁棒性设计优化。直流电动机控制用于比较和评估几种设计方法的系统性能和鲁棒性。此外，我们为控制系统设计的鲁棒性评估定义了可靠的指标。

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《Proceedings of ANALOG 2016, ITG/GMM-Symposium》|2016年|1-6|共6页
会议地点 Bremen(DE)
作者
Leandro Gil; Martin Radetzki;
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4. Optimized Disturbance Weighting for Robust System Design under Parameter Uncertainties [C] . Leandro Gil, Martin Radetzki ANALOG Symposium . 2016

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8. Optimization of Systems with Uncertainty: Initial Developments for Performance, Robustness and Reliability Based Designs [R] . Crespo, L. G. 2002

机译：不确定系统的优化：基于性能，鲁棒性和可靠性设计的初步开发

Optimized Disturbance Weighting for Robust System Design under Parameter Uncertainties

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