Adaptive Fuzzy Controller Design Based on Aircraft Model

2014 ◽  
Vol 556-562 ◽  
pp. 2470-2473
Author(s):  
Yu Qing Li ◽  
Chong Lei

According to the attitude control equation and the equations of fluid mechanics, build dynamic model .The system simulation method and the MATLAB software were used to study on the aircraft model for several different controller system, which including PID controller, T-S fuzzy controller, The adaptive fuzzy controller design. Analysis of interference signals on the performance of the aircraft control system, consider the overshoot, steady-state error, resistance to load disturbance and parameter changes adaptability, robustness. Finally, It is concluded that different controller of vehicle performance index, and then analysis from the advantages of adaptive fuzzy control in the aspect of aircraft model.

2021 ◽  
Vol 219 ◽  
pp. 107956
Author(s):  
Yuanhui Wang ◽  
Haibin Wang ◽  
Mingyang Li ◽  
Duansong Wang ◽  
Mingyu Fu

2013 ◽  
Vol 694-697 ◽  
pp. 2185-2189
Author(s):  
Xiao Ping Zhu ◽  
Xiu Ping Wang ◽  
Chun Yu Qu ◽  
Jun You Zhao

In order to against the uncertain disturbance of AC linear servo system, an H mixed sensitivity control method based on adaptive fuzzy control was putted forward in the paper. The controller is comprised of an adaptive fuzzy controller and a H robust controller, the adaptive fuzzy controller is used to approximate this ideal control law, H robust controller is designed for attenuating the approximation errors and the influence of the external disturbance. The experimental results show that this control strategy not only has a strong robustness to uncertainties of the linear system, but also has a good tracking performance, furthermore the control greatly improves the robust tracking precision of the direct drive linear servo system.


1999 ◽  
Author(s):  
Sungchul Jee ◽  
Sungchol Kim ◽  
Kee-Hyun Shin

Abstract Disturbances due to the eccentric unwinding roll/roller can create significant tension variations in the web spans in multi-driven web transport systems. The drivers are interconnected by an elastic web material (a 14-micrometer thick Polypropylene film was used for this study). Specifically, eccentricity of an upstream roller such as an unwinding roll creates upstream tension variation, and the tension variation in upstream web spans is transported to downstream due to the interconnection between the web spans. However, it is not easy to obtain an accurate mathematical model of the web transport system, for the design of a tension controller, which contains several actuators, sensors, gears, bearing systems, and interconnected web spans. In this paper, an adaptive fuzzy controller which automatically tunes its parameters in real-time is suggested to regulate tension variations in multi-spans due to an eccentric unwinding roll. In the proposed method, the input and output ranges are adjusted together according to continuous observation of tension error and change in the error. The proposed controller is implemented on a prototype web transport system which consists of three AC motors, real-time target controllers, unwinding and winding rolls with two-spans of web including sensors for the measurement of tensions and speeds of the web. The Experimental results show that the proposed adaptive fuzzy controller successfully rejects the effects of the disturbances due to the eccentric unwinding roll and substantially reduces the tension variations in both web spans. The adaptive fuzzy controller outperformed the conventional PID controller as the frequency of the eccentricity disturbance increased.


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