scholarly journals Fuzzy PD controller of UAV attitude under wind interference

2020 ◽  
Vol 309 ◽  
pp. 04010
Author(s):  
Boyan Liu ◽  
Yuanxin Wang ◽  
Jiaxin Wen ◽  
Chaolun Zhao
Keyword(s):  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Wind Disturbance ◽  
Attitude Stability ◽  
Attitude Angle ◽  
Adjustment Time ◽  
Angle Stability ◽  
Adaptive Pid Control ◽  
Fuzzy Pd ◽  
Fuzzy Adaptive

In this paper, for the UAV attitude angle stabilization system under constant flat wind disturbance, the fuzzy adaptive PID control theory is used to establish the equation of wind disturbance attitude angle stability system. After mastering the control rate of the system, the fuzzy controller is designed by using matlab, and the attitude angle dynamic simulation analysis was carried out. The results show that under the interference of flat wind, the longitudinal attitude of the UAV is changed by interference, and the fuzzy adaptive PD is used to control the attitude angle of the aircraft, which has faster tracking performance, smaller adjustment time than the traditional PD control. Thereby achieving better maneuverability and less steady-state error. Therefore, the fuzzy adaptive PD can better control the attitude stability of the UAV, improve the wind resistance of the UAV, and ensure the flight is safe and reliable.

Pressing speed stability control of a special ceramic roller bearing press based on fuzzy adaptive PID

2021 ◽  
pp. 1-16
Author(s):  
Lijie Yang ◽  
Guimei Wang ◽  
Huadong Zhang ◽  
Jiehui Liu ◽  
Yachun Zhang
Keyword(s):  
Pid Control ◽  
Simulation Analysis ◽  
Roller Bearing ◽  
Speed Control ◽  
Stability Control ◽  
Interference Signal ◽  
Ceramic Roller ◽  
Speed Stability ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

A special ceramic roller bearing press (SCRBP) is developed to press two bearings efficiently and precisely at the same time. A speed control mathematical model of the bearing press is built to obtain stability bearing pressing speed. The fuzzy adaptive PID controller of the bearing pressing speed of SCRBP is designed. The simulation model is also built. Fuzzy adaptive PID control is compared with conventional PID control. By simulation analysis, the simulation results show that adjusting time of fuzzy adaptive PID control is short, and its overshoot is very small, almost coincides with the set pressing speed. Moreover, fuzzy adaptive PID is suitable for the pressing speed control of the bearing pressing speed system with step interference signal. The pressing stability speed is obtained by fuzzy adaptive PID control.

Fuzzy PID and Contour Tracking as Applied to Position Control of a Pneumatic Gantry Robot

2013 ◽  
Author(s):  
James Waldie ◽  
Brian Surgenor ◽  
Behrad Dehghan
Keyword(s):  
Pid Controller ◽  
Position Control ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Future Work ◽  
Fuzzy Pd ◽  
Gantry Robot ◽  
Fuzzy Adaptive

In previous work, the performance of PID plus an adaptive neural network compensator (ANNC) was compared with the performance of a novel fuzzy adaptive PID algorithm, as applied to position control of one axis of a pneumatic gantry robot. The fuzzy PID controller was found to be superior. In this paper, a simplified non-adaptive fuzzy algorithm was applied to the control of both axes of the robot. Individual step results are first shown to confirm the validity of the simplified fuzzy PID controller. The fuzzy controller is then applied to a sinuosoidal tracking problem with and without a fuzzy PD tracking algorithm. Initial results are considered to be very promising. Future work requires developing an adaptive version of the controller in order to demonstrate robustness relative to changing tracking frequencies and changing supply pressures.

The Path Planning Control of a Mobile Robot Based on Fuzzy and Fuzzy Adaptive PID

2015 ◽  
Vol 713-715 ◽  
pp. 876-880 ◽  
Author(s):  
Su Ying Zhang ◽  
Yan Kai Shen ◽  
Wen Shuai Cui
Keyword(s):  
Control System ◽  
Path Planning ◽  
Fuzzy Control ◽  
Mobile Robot ◽  
Real Time ◽  
Fuzzy Controller ◽  
Target Point ◽  
Time Planning ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

The purpose of this paper is to suggest and examine a control system with a fuzzy controller and a fuzzy-PID controller to solve the problem of mobile robot path planning. The environment information about obstacles and the goal has been detected by using sensors. The system divides environment situations into two types the obstacle mode and non-obstacle mode. In view of the oscillation problem existing in fuzzy control when there is no obstacle, this paper proposes that the fuzzy control is used for the obstacle mode and the fuzzy adaptive PID control is used for the non-obstacle mode. The robot performs the real-time planning choice by path planning selector, and the control system is simulated by Matlab software. The simulation result shows that the control strategy has the characteristics of faster response, better real-time performance and achieves a better path from the start point to the target point.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

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