Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Missile Autopilot Design Based on Fuzzy Self-Tuning Immune PID Control

2013 ◽  
Vol 739 ◽  
pp. 550-554 ◽  
Author(s):  
Xu Sheng Gan ◽  
Xue Qin Tang ◽  
Jian Guo Gao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Variable Parameter ◽  
Feedback Mechanism ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
System A ◽  
Self Tuning ◽  
Better Than

A design of the fuzzy self-tuning immune PID controller is proposed. The controller, which combines immune feedback mechanism and fuzzy PID control, executes the self-tuning of PID parameters in the control system. A simulation experiment is presented in light of a tactical missile autopilot transfer function. Simulation result shows that the performance of fuzzy self-tuning immune PID controller is better than that of fuzzy PID controller, especially in its robust performance for variable parameter system.

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

Research of Control Strategy Based on the Electro-Hydraulic Proportion Position Control System

2013 ◽  
Vol 819 ◽  
pp. 238-243
Author(s):  
Yin Fa Zhu ◽  
Bing Bing Chen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Position Control ◽  
The Self ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning ◽  
Position Control System

The self-tuning fuzzy PID controller of the electro-hydraulic proportion position control system is designed and researched. Compared the self-tuning fuzzy PID control with the traditional PID control through experiments for the track effect on sinusoidal signals, the results show that the self-tuning fuzzy PID controller has higher accuracy and better stability. It is a more excellent performance controller.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

scholarly journals Fuzzy-PID controller for an energy efficient personal vehicle: Two-wheel electric skateboard

2019 ◽  
Vol 9 (6) ◽  
pp. 5312
Author(s):  
Bambang Sumantri ◽  
Eko Henfri Binugroho ◽  
Ilham Mandala Putra ◽  
Rika Rokhana
Keyword(s):  
Energy Consumption ◽  
Pid Control ◽  
Energy Efficient ◽  
Pid Controller ◽  
Electric Energy ◽  
Fuzzy Pid ◽  
Electrical System ◽  
Fuzzy Pid Control ◽  
Electric Energy Consumption ◽  
Fuzzy Pid Controller

The two-wheeled electric skateboard (TWS) is designed for a personal vehicle. A Fuzzy-PID control strategy is designed and implemented for controlling its motion. Basically, motions control of the TWS is performed by balancing the pitch position of the TWS. Performance of the designed controller is demonstrated experimentally. The Fuzzy algorithm updates the PID gains and therefore it can handle the changing of the TWS load. Contribution of Fuzzy-PID in reducing the electric energy consumption, which is an important issue in electrical system, is also evaluated. The Fuzzy-PID successes to reduce the electric energy consumption of the TWS compared to the conventional PID.

Research of Large Erecting Control System Based on Fuzzy PID Control Algorithm

2015 ◽  
Vol 743 ◽  
pp. 146-149
Author(s):  
Wen Liang Guan ◽  
Qin He Gao ◽  
Yi Hong Li ◽  
Zhi Hao Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Model ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Dynamics Model ◽  
Fuzzy Pid Control ◽  
Model Control ◽  
Simulation Results ◽  
The Stability

Dynamics model and Electro-hydraulic proportional control model were established using Simulink and AMESim, Co-simulation was did based on the model. Control Performance of erecting system is Improved based on fuzzy PID control algorithm. Simulation results show that, Overshoot at level exchanging is small, the response is fast and the stability is improved based on fuzzy PID control algorithm.

A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process

2020 ◽  
Vol 22 (7) ◽  
pp. 2163-2187
Author(s):  
Nguyen Dinh Phu ◽  
Nguyen Nhut Hung ◽  
Ali Ahmadian ◽  
Norazak Senu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Process ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

Research on Intelligent Vehicle Steering System via Improved Fuzzy-PID Control Method Based on RSDA

2012 ◽  
Vol 220-223 ◽  
pp. 958-963 ◽  
Author(s):  
Hui Fen Dong ◽  
Feng Li ◽  
Qing Ji Gao ◽  
Bao Lei Dong
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Response Speed ◽  
Steering System ◽  
Intelligent Vehicle ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
System A ◽  
Control Accuracy

In order to improve the control accuracy and response speed of the intelligent vehicle steering system, a DC-motor controlled steering system using an IPC (Industrial personal computer) is designed. The hardware of the system is developed by analyzing the dynamic steering model. A new control method of Fuzzy-PID controller with RSDA (Rough Set Data Analysis) is proposed. Experimental results using the proposed control strategy show better performance and robust properties than the ordinary Fuzzy-PID.

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