基于模糊逻辑策略的不确定动态模型小卫星姿态控制

H. S. Ousaloo
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引用次数: 3

摘要

本文采用模糊逻辑策略研究了变惯性矩阵下小卫星的多轴姿态机动问题。控制器采用多输入多输出(MIMO)模糊控制器,知识库由75条逻辑规则(每轴25条逻辑规则)组成。用5个隶属函数对输入域进行划分,得到每个规则库25条模糊规则。输出域用7个隶属函数划分。Mamdani控制器使用标准的最大最小推理过程和快速的面积中心方法来计算清晰的控制信号。通过模糊控制器向混合作动器发出指令,实现卫星的自主控制。由磁致力矩器和反作用轮组成的执行器组,便于三轴机动。采用混合作动器解决了主动磁控制方法中经常出现的奇异性问题。采用IGRF2000进行地磁场模拟。通过开发干扰力矩模拟器模块,研究了环境干扰对飞行器姿态机动的影响。该控制策略的主要特点是:航天器控制系统设计和开发简单,对自动控制重构和模型不确定性具有较强的鲁棒性,降低了飞行控制系统的开发和生产成本,具有自主机载控制特性。数值仿真结果表明,与四元数反馈和欧拉角反馈控制律等经典控制方法相比,所提方法具有较好的控制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attitude control of a small satellite with uncertainly dynamic model using fuzzy logic strategy
The present paper deals with the multi-axis attitude maneuver of a small satellite with variable inertia matrix, using fuzzy logic strategy. The controller has been realized by means of a Multi Input Multi Output (MIMO) fuzzy controller with a knowledge base composed by 75 logic rules (25 logic rules for per axis). The input-domains are partitioned with 5 membership functions, resulting in 25 fuzzy rules for each rule-base. The output-domains are partitioned with 7 membership functions. The Mamdani controllers use a standard max-min inference process and a fast center of area method to calculate the crisp control signals. The satellite control is obtained autonomously by the fuzzy controller generating commands to the hybrid actuators. The actuator set combined from magnetorquers and reaction wheel to facilitate three axes maneuver. Using hybrid actuators solve the singularity problem that often occurs in active magnetic control methods. IGRF2000 was used as earth magnetic field simulation. Effects of the environmental disturbances during Attitude maneuver of the SC have been considered by developing a disturbance torques simulator module. The main features of the proposed control strategy are: simplicity in spacecraft control system design and development, increased robustness for automatic control reconfiguration and model uncertainty, reduction in development and production cost for flight control systems, autonomous on-board control features. Numerical simulations show the capabilities of the proposed approaches compared to the other classical methods (PD) such as quaternion feedback and Euler Angles feedback control laws.
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