Research on Acceleration Slip Regulation for Vehicle Based on Compound Control of Fuzzy and PID

2012 ◽  
Vol 433-440 ◽  
pp. 4165-4172
Author(s):  
Zhi Yuan Li ◽  
Dan Dan Su ◽  
Hao Dong Li ◽  
Shun Yan Hou
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Driving Ability ◽  
Fuzzy Pid ◽  
Optimal Range ◽  
Simulation Experiments ◽  
Slip Ratio ◽  
Fuzzy Pid Controller ◽  
Compound Control

In this paper, the compound control algorithm of fuzzy and PID has been applied in Acceleration Slip Regulation for vehicle to prevent the excessive spin of driving wheels on wet or icy roads. Simulation experiments have been done to investigate the performance of Acceleration Slip Regulation. The results show that the provided Fuzzy PID controller can effectively keep the slip ratio of the driving wheels in the optimal range and improve the driving ability of the vehicle.

A novel rate control algorithm for video coding based on fuzzy-PID controller

2013 ◽  
Vol 9 (4) ◽  
pp. 875-884 ◽  
Author(s):  
Yonghong Hou ◽  
Pichao Wang ◽  
Wei Xiang ◽  
Zhimin Gao ◽  
Chunping Hou
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Rate Control Algorithm

A Smart Predictive Control Algorithm for Heating Furnace

2011 ◽  
Vol 255-260 ◽  
pp. 2253-2256
Author(s):  
Jie Yang ◽  
Jian Bin Tang ◽  
Zhi Hua Xu
Keyword(s):  
Predictive Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Heating Furnace ◽  
Model Parameters ◽  
Fuzzy Pid ◽  
Complex Matrix ◽  
Fuzzy Pid Controller ◽  
Heating Furnaces ◽  
Better Than

A smart predictive control algorithm which can be designed for temperature control is proposed in this paper. The control algorithm is implemented by establishing the model of heating furnaces and calculating its model parameters online. The computational load of this algorithm is very small since the complex matrix computing can be avoided. Experimental results show that the temperature controller using this algorithm has good tracking performance and little overshoot. Moreover, it is better than a fuzzy PID controller.

Research on Automatic Leveling System of Railway Rescue Crane

2014 ◽  
Vol 909 ◽  
pp. 241-246
Author(s):  
Ling Zhang ◽  
Jun Peng Shao ◽  
Gui Tao Sun ◽  
Bing Wei Gao ◽  
Zhao Hui Jin ◽  
...  
Keyword(s):  
Pid Controller ◽  
Control Algorithm ◽  
Control Process ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Logic Control ◽  
Working Principle

Automatic leveling system used in railway rescue crane has characteristics such as time variance, nonlinearity and strong interference, which bring a variety of difficulties in control process into existence. This paper introduces the working principle and mathematical model of automatic leveling system used in railway rescue crane. A fuzzy PID controller based on fuzzy logic control algorithm and conventional PID algorithm is designed, MATLAB simulation results show that the effectiveness of the proposed fuzzy PID controller, and the fuzzy PID control strategy has better effect on the automatic leveling system used in railway rescue crane.

Research on the Fuzzy PID Controller Based on PLC Applied in the Cold Pellet Production

2013 ◽  
Vol 284-287 ◽  
pp. 2291-2295
Author(s):  
Man Chen Xiong ◽  
Ling Long Wang ◽  
Yi Heng Jiang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Drying System

Parameter self-setting fuzzy PID control algorithm for control drying temperature is proposed to improve the problem about big fluctuations in temperature and high pellet broken rate of traditional control on Cold pressure ball drying system in this paper, and the controller create intelligence temperature control system through combine fuzzy control and PID control. We establish fuzzy controller, preparation of fuzzy look-up table in PLC and combined with PID control module to realize fuzzy PID control algorithm, through the computer simulation to analyze the fuzzy PID controller control effect.

The Application of Fuzzy PID Control Algorithm in Variable Frequency Speed Regulation System of Glass Edge Grinding Machine

2014 ◽  
Vol 697 ◽  
pp. 151-155
Author(s):  
Bing Deng ◽  
Guo Qiang Shen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Regulation System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Speed Regulation ◽  
Grinding Machine ◽  
Glass Edge

Aiming at the deficiencies of traditional PID control algorithm, the application of Fuzzy PID control algorithm is proposed in variable frequency speed regulation system of glass edge grinding machine. The design of fuzzy PID controller is presented in the paper. The paper not only introduces the system principle and models for inverter and AC asynchronous motor but also tells the principle of Fuzzy PID Controller and its design method. A simulation model including traditional PID Controller and Fuzzy PID Controller is established in MATLAB/Simulink. Through the analysis of the difference between the two controlling outputs, the better performance of Fuzzy PID Controller in response speed, accuracy and stability is proved effectively. The result can be used as important criterion to the practical application of Fuzzy PID control algorithm.

Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems

2019 ◽  
Vol 12 (6) ◽  
pp. 519-531
Author(s):  
Deepak Kumar Lal ◽  
Ajit Kumar Barisal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fractional Order ◽  
Pid Controller ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Hybrid Power ◽  
Increasing Demand

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

Core power control of a space nuclear reactor based on a nonlinear model and fuzzy-PID controller

2021 ◽  
pp. 103564
Author(s):  
Wenjie Zeng ◽  
Qingfeng Jiang ◽  
Yinuo Liu ◽  
Shoujun Yan ◽  
Guangchun Zhang ◽  
...  
Keyword(s):  
Power Control ◽  
Nonlinear Model ◽  
Pid Controller ◽  
Nuclear Reactor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller
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