Volume 36, Number 3, June 2018
|439 - 447
|08 October 2018
Selection of Fuzzy Controller Membership Functions Based on Adaptive Gaussian Cloud Transform
Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi’an 710038, China
2 Northwestern Polytechnic University, Xi’an 710038, China
Aiming at the boundedness of existing methods of selecting membership functions, an adaptive Gaussian cloud transform algorithm which is guided by the threshold values of hybridization degree is proposed to construct concept hierarchy from original sample data, and then the number, shape and coverage area of membership functions can be derived from the distribution of Gaussian cloud. To test and verify the effectiveness of membership function that is extracted based on adaptive Gaussian cloud transform algorithm, a six-degree-of freedom model of unmanned aerial vehicles(UAV) is constructed, and a fuzzy controller of pitching angle is established with the platform of Simulink. The simulation results show that the fuzzy controller which includes membership functions derived from the distribution of Gaussian cloud transform can achieve perfect control performance of pitching angle and meanwhile obtain good dynamic response characteristics.
Key words: membership functions / adaptive Gaussian cloud transform / unmanned aerial vehicles(UAV) / fuzzy controller / concept hierarchy / sample data / six-degree-of freedom model / pitching angle / simulink
关键字 : 隶属度函数 / 自适应 / 高斯云变换 / 无人机 / 模糊控制器 / 俯仰角 / simulink
© 2018 Journal of Northwestern Polytechnical University. All rights reserved.
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