scholarly journals Method study on fuzzy-PID adaptive control of electric-hydraulic hitch system

2017 ◽  
Author(s):  
Mingsheng Li ◽  
Liubu Wang ◽  
Jian Liu ◽  
Jin Ye
Keyword(s):  
Adaptive Control ◽  
Fuzzy Pid

Adaptive Fuzzy PID Arithmetic Applied in Water Tank Temperature Control

2011 ◽  
Vol 58-60 ◽  
pp. 1602-1607 ◽  
Author(s):  
Jie Dong
Keyword(s):  
Adaptive Control ◽  
Water Supply ◽  
Pid Control ◽  
Pid Controller ◽  
Heating System ◽  
Supply System ◽  
Water Tank ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Robust Property

As the development of the modern workshop, the demand for water supply and heating system is more and more important. This paper comes from the faw-volkswagen company’s construction project about the automatic water supply system of one of its workshop. For many reasons, the conventional PID control can't satisfy the workshop’s demands for the certain temperature, after a careful research of the system, we utilize the principle of fuzzy PID adaptive control to design a fuzzy PID controller, then put it into the water tank heater’s controlling, through the practice, we find the controller has a good robust property and reached the practical production needs.

Improvement on Gap Detection Servo System of EDM Based on Fuzzy Inference System

2012 ◽  
Vol 505 ◽  
pp. 199-202
Author(s):  
Yan Wang ◽  
Guang He Wu
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Fuzzy Inference ◽  
Servo Control ◽  
Detection Methods ◽  
Gap Detection ◽  
Fuzzy Pid ◽  
Inference System ◽  
Servo Control System ◽  
And Control

The chief purpose of servo control system is gap detection and control during the process of EDM. In this paper, there are evaluations and introductions about two gap detection methods--average voltage detection and effective spark number detection, which are widely used in nowadays. A new method based on fuzzy PID adaptive control about the two gap detection methods is introduced to improve the accuracy and anti-interference performance.

scholarly journals Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Pei Pei ◽  
Zhongcai Pei ◽  
Zhiyong Tang ◽  
Han Gu
Keyword(s):  
Adaptive Control ◽  
Pid Control ◽  
Control Method ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Variable Structure ◽  
Fuzzy Pid ◽  
Structure Control ◽  
Control Precision ◽  
Sliding Mode Variable Structure

A novel Fuzzy PID-Variable Structure Adaptive Control is proposed for position tracking of Permanent Magnet Synchronous Motor which will be used in electric extremity exoskeleton robot. This novel control method introduces sliding mode variable structure control on the basis of traditional PID control. The variable structure term is designed according to the sliding mode surface which is designed by system state equation, so it could compensate for the disturbance and uncertainty. Considering the chattering of sliding mode system, the fuzzy inference method is adopted to adjust the parameters of PID adaptively in real time online, which can attenuate chattering and improve control precision and dynamic performance of system correspondingly. In addition, compared with the traditional sliding mode control, this method takes the fuzzy PID control item to replace the equivalent control item of sliding mode variable structure control, which could avoid the control performance reduction resulted from modeling error and parameter error of system. It is proved that this algorithm can converge to the sliding surface and guarantee the stability of system by Lyapunov function. Simulation results show that Fuzzy PID-Variable Structure Adaptive Control enjoys better control precision and dynamic performance compared with traditional control method, and it improves the robustness of system significantly. Finally, the effectiveness and practicability of the algorithm are verified by the method of Rapid Control Prototyping on the semiphysical simulation test bench.

scholarly journals Kendali Adaptif Neuro Fuzzy PID untuk Kestabilan Terbang Fixed Wing UAV (Adaptive Control of Neuro Fuzzy PID for Fixed Wing UAV Flight Stability)

2020 ◽  
Vol 9 (1) ◽  
pp. 73-78
Author(s):  
Erwhin Irmawan ◽  
Erwan Eko Prasetiyo
Keyword(s):  
Adaptive Control ◽  
Pid Control ◽  
Network Control ◽  
Lower Percentage ◽  
Pid Controllers ◽  
Longitudinal Motion ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Neuro Fuzzy ◽  
Aerial Vehicle

Unmanned Aerial Vehicle (UAV), especially fixed wing, are widely used to carry out various missions, namely civil and military missions. To support the implementation of this mission, it is necessary to develop an intelligent automatic control system (autopilot). In this paper, an autopilot system with adaptive neuro fuzzy PID control is developed to control lateral (pitch) and longitudinal (roll) motion, by taking advantage of PID, fuzzy, and neural network control. Therefore, robust controls which can handle non-linear conditions can be formed. This paper aims to determine the performance of adaptive control of neuro fuzzy PID controllers for longitudinal and lateral motion on UAV. The result shows that adaptive control of neuro fuzzy PID are able to control the lateral and longitudinal motion of the aircraft and able to compensate for interferences from environmental disturbances in flying condition, such as changes in direction and wind speed that causes changes in aircraft attitude. The control characteristics of neuro fuzzy PID adaptive control in lateral and longitudinal motion are relatively similar. Adaptive control of neuro fuzzy PID has better performance than fuzzy PID control, i.e., faster settling time and lower percentage of maximum overshoot.

Fuzzy PID based adaptive control on industrial robot system

2018 ◽  
Vol 5 (5) ◽  
pp. 13055-13060 ◽  
Author(s):  
S. krishna ◽  
S. Vasu
Keyword(s):  
Adaptive Control ◽  
Industrial Robot ◽  
Fuzzy Pid ◽  
Robot System
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