On control-specific derivation of affine Takagi-Sugeno models from physical models: Assessment criteria and modeling procedure
On control-specific derivation of affine Takagi-Sugeno models from physical models: Assessment criteria and modeling procedure
复制标题
关于从物理模型中仿射 Takagi-Sugeno 模型的控制特定推导：评估标准和建模程序
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Axel Dürrbaum
中科院分区：
文献类型：
--
作者：
A. Kroll;Axel Dürrbaum
模型通常是派生出来的，其性能是评估wrt。在封闭数据集上的最小预测误差。但是，如果不能使用完美的模型，则应该使用建模中的自由度来调整模型以适应特定于应用程序的度量。对于基于模型的控制器设计，面向控制的性能指标（例如，性能wrt。控制关键特性）是重要的，但不是主要的预测（即预测和模拟导向）。这激发了控制特定模型的推导。的贡献介绍了结构化的和定量的措施“模型适合控制”类仿射动态高木-Sugeno模型。提出了一种方法，从一组非线性微分方程给出的物理模型推导出控制特定的动态模型。在一个案例研究中，所提出的方法表明其意义：使用控制特定的模型，提高控制性能指标，如设定点跟踪质量，稳定区域和能源效率。非线性动态建模，Takagi-Sugeno系统，控制建模
Models are commonly derived and their performance is assessed wrt. minimal prediction error on a closed data set. However, if no perfect model can be used, the degrees of freedom in modeling should be used to adjust the model to application-specific metrics. For model-based controller design, control-oriented performance metrics (e.g. performance wrt. to control-critical properties) are important, but not primarily prediction (i.e. prognosis- and simulation-oriented) ones. This motivates the derivation of control-specific models. The contribution introduces structured and quantitative measures on “model suitability for control” for the class of affine dynamic Takagi-Sugeno models. A method is suggested that derives control-specific dynamic models from a physical model given as a set of nonlinear differential equations. Within a case study, the proposed method demonstrates its significance: Using control-specific models improves control performance metrics such as set-point tracking quality, stability region and energy efficiency. Nonlinear dynamic modeling, Takagi-Sugeno systems, modeling for control