| 多变量线性时变系统的特征模型及自适应模糊控制方法 |
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| 引用本文： | 孙多青,吴宏鑫.多变量线性时变系统的特征模型及自适应模糊控制方法[J].宇航学报,2005,26(6):677-681,692. |
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| 作者姓名： | 孙多青 吴宏鑫 |
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| 作者单位： | 1. 中国空间技术研究院,北京控制工程研究所,北京,100080;河北科技师范学院数理系,秦皇岛,066004
2. 中国空间技术研究院,北京控制工程研究所,北京,100080 |
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| 基金项目： | 国家自然科学基金重点项目（60034010）;973计划课题（2002CB312205）;国家自然科学摹金项目（90405017,10372015） |
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| 摘 要： | 对于阶数及参数未知的高阶系统，如何设计一个工程上易于实现的低阶控制器，以实现有效的高性能控制，这是目前航天等领域亟待解决的问题。该文采用将对象特征和控制性能要求相结合的方法，对多输入一多输出高阶线性时变系统和一类非线性时变系统从理论上详细推导出了其特征模型，在此基础上设计了基于特征模型的稳定的自适应模糊广义预测控制方案。由于控制结构中使用了分层模糊系统，从而减少了模糊规则数目。通过对一个挠性航天器控制的仿真实验验证了所给方法的有效性。
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| 关 键 词： | 挠性航天器 特征建模 线性时变系统 分层模糊系统 广义预测控制 |
| 文章编号： | 1000-1328（2005）06-0677-05 |
| 收稿时间： | 2004-11-26 |
| 修稿时间： | 2004-11-262005-01-24 |
Characteristic Modelling and Adaptive Fuzzy Control Method of MIMO Higher-Order Linear Time-Varying Systems |
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| SUN Duo-qing,WU Hong-xin.Characteristic Modelling and Adaptive Fuzzy Control Method of MIMO Higher-Order Linear Time-Varying Systems[J].Journal of Astronautics,2005,26(6):677-681,692. |
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| Authors: | SUN Duo-qing WU Hong-xin |
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| Institution: | 1. Beijing Institute of Control Engineering, Chinese Academy of Space Technology, Beijing 100080, China; 2. Department of Mathematics and Physics, Hebei Normal University of Science and Technology, Qinhuangdao 066004, China |
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| Abstract: | For higherorder systems with unknown order and parameters,there are still some key problems to be solved in the field of astronautics at present,such as how to design lower order controllers in order to realize effective control with high performance.By incorporating the characteristics of plants with control requirements,2ndorder characteristic models are deduced theoretically in detail for multiinput and multioutput higherorder linear timevarying systems and a class of nonlinear timevarying systems.On the basis of the results,the adaptive fuzzy generalized predictive control scheme based on characteristic modelling is designed.Because of applying hierarchical fuzzy systems in the control architecture,the number of rules in a(standard) fuzzy controller is reduced greatly.Simulation results on a flexible spacecraft control verified the efficiency of the adaptive fuzzy generalized predictive controller. |
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| Keywords: | Flexible spacecraft Characteristic modelling Linear time-varying system Hierarchical fuzzy system Generalized predictive control |
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