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Adaptive fuzzy logic controller with direct action type structures for InnoSAT attitude control system

机译:具有InnoSat姿态控制系统直接动作型结构的自适应模糊逻辑控制器

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This study proposes an adaptive fuzzy controller for attitude control system (ACS) of Innovative Satellite (InnoSAT) based on direct action type structure. In order to study new methods used in satellite attitude control, this paper presents three structures of controllers: Fuzzy PI, Fuzzy PD and conventional Fuzzy PID. The objective of this work is to compare the time response and tracking performance among the three different structures of controllers. The parameters of controller were tuned on-line by adjustment mechanism, which was an approach similar to a PID error that could minimize errors between actual and model reference output. This paper also presents a Model References Adaptive Control (MRAC) as a control scheme to control time varying systems where the performance specifications were given in terms of the reference model. All the controllers were tested using InnoSAT system under some operating conditions such as disturbance, varying gain, measurement noise and time delay. In conclusion, among all considered DA-type structures, AFPID controller was observed as the best structure since it outperformed other controllers in most conditions.
机译:本研究提出了一种基于直接动作型结构的创新卫星(InnoSat)的姿态控制系统(ACS)的自适应模糊控制器。为了研究卫星姿态控制中使用的新方法,本文介绍了控制器的三种结构:模糊PI,模糊PD和常规模糊PID。这项工作的目的是比较控制器三种不同结构之间的时间响应和跟踪性能。通过调整机制在线调谐控制器参数,这是一种类似于PID错误的方法,可以最小化实际和模型参考输出之间的错误。本文还呈现了一种模型参考自适应控制(MRAC)作为控制方案,以控制根据参考模型给出了性能规范的时间变化的系统。在某些操作条件下使用InnoSat系统测试所有控制器,例如干扰,不同的增益,测量噪声和时间延迟。总之,在所有考虑的DA型结构中,观察到AFPID控制器作为最佳结构,因为它在大多数条件下表现出其他控制器。

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