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A fuzzy approach for optimal robust control design of automotive electronic throttle system
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2018-04-01 , DOI: 10.1109/tfuzz.2017.2688343
Hao Sun , Han Zhao , Kang Huang , Mingming Qiu , Shengchao Zhen , Ye-Hwa Chen

In this paper, we propose a fuzzy approach for optimal robust control design of an automotive electronic throttle (ET) system. Compared with the conventional ET control systems, we establish the fuzzy dynamical model of the ET system with parameter uncertainties, nonlinearities, and external disturbances, which may be nonlinear, (possibly fast) time varying. These uncertainties are assumed to be bounded, and the knowledge of the bound only lies within a prescribed fuzzy set. A robust control that is deterministic and is not the usual if–then rules-based control is presented to guarantee the controlled system to achieve the deterministic performance: uniform boundedness and uniform ultimate boundedness. Furthermore, a fuzzy-based system performance index including average fuzzy system performance and control cost is proposed based on the fuzzy information. The optimal design problem associated with the control can then be solved by minimizing the fuzzy-based performance index. With this optimal robust control, the performance of the fuzzy ET system is both deterministically guaranteed and fuzzily optimized.

中文翻译:

汽车电子节气门系统优化鲁棒控制设计的模糊方法

在本文中,我们提出了一种用于汽车电子节气门 (ET) 系统优化鲁棒控制设计的模糊方法。与传统的 ET 控制系统相比,我们建立了具有参数不确定性、非线性和外部扰动的 ET 系统模糊动力学模型,该模型可能是非线性的,(可能是快速的)时变。假设这些不确定性是有界的,而界的知识仅位于规定的模糊集合内。提出了一种确定性的鲁棒控制,而不是通常的 if-then 基于规则的控制,以保证受控系统实现确定性性能:统一有界和统一最终有界。此外,基于模糊信息提出了基于模糊的系统性能指标,包括平均模糊系统性能和控制成本。然后可以通过最小化基于模糊的性能指标来解决与控制相关的优化设计问题。通过这种最优鲁棒控制,模糊 ET 系统的性能得到确定性保证和模糊优化。
更新日期:2018-04-01
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