Design study of an adaptive Fuzzy-PD controller for pneumatic servo system

2005 ◽  
Vol 13 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Xiang Gao ◽  
Zheng-Jin Feng
Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-26
Author(s):  
Wei Zhang ◽  
Weibing Zhu ◽  
Shijie Zhang ◽  
Xiangtian Zhao

Modern spacecraft are often equipped with large-scale, complex, and lightweight solar arrays whose deployment involves a highly dynamic movement. This paper proposed a novel adaptive proportional-derivative typed fuzzy logic control scheme for the attitude stabilization of a flexible spacecraft during the deployment of a composite laminated solar array. First, a constrained rigid-flexible coupling spacecraft model consisting of a rigid main body and a flexible solar array was proposed. The solar array, which is composed of composite laminated shells, was described by the absolute nodal coordinate formulation. Then, the detailed derivation of the adaptive fuzzy PD controller for attitude stabilization of the spacecraft was discussed. In addition, the spacecraft dynamic model which integrated the adaptive fuzzy PD controller was derived as a set of differential-algebraic equations. Several simulations were developed to investigate the solar array deployment dynamics and to verify the effectiveness of the proposed adaptive fuzzy PD controller. The results suggested that the proposed dynamic model is able to exactly describe the deployment dynamics of the composite laminated solar array. The solar array deployment causes obvious translational and rotational motions of the spacecraft. The proposed adaptive fuzzy PD control scheme has better performance in terms of the control precision and time response in stabilizing spacecraft during the deployment of the composite laminated solar array, comparing with that of the conventional PD controller.


2014 ◽  
Vol 53 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Ahmad M. El-Nagar ◽  
Mohammad El-Bardini ◽  
Nabila M. EL-Rabaie

1996 ◽  
Vol 27 (1) ◽  
pp. 159-164 ◽  
Author(s):  
Witrisnanto. S. N. ◽  
T. Futami ◽  
T. Arai ◽  
M. Kimura

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