scholarly journals Application of a New Membership Function in Nonlinear Fuzzy PID Controllers with Variable Gains

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Xuda Zhang ◽  
Hong Bao ◽  
Jingli Du ◽  
Congsi Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Membership Function ◽  
Pid Control ◽  
Control Algorithm ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adjustable Range

This paper proposes a nonlinear fuzzy PID control algorithm, whose membership function (MF) is adjustable, is universal, and has a wide adjustable range. Appling this function to fuzzy control theory will increase system’s tunability. The continuity of this function is proved. This method was employed in the simulation and HIL experiments. Effectiveness and feasibility of this function are demonstrated in the results.

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

2012 ◽  
Vol 472-475 ◽  
pp. 3063-3066
Author(s):  
Rong Luo ◽  
Lun Wei Chen ◽  
Hong Bo Ren ◽  
Cheng Yu Liu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Advantages And Disadvantages ◽  
Self Tuning ◽  
Concrete Control

Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly according to it.

Base on Fuzzy Control of Grid Power Control of VRB Energy Storage System of Wind Farm

2012 ◽  
Vol 220-223 ◽  
pp. 793-798 ◽  
Author(s):  
Shan Bai ◽  
En Yong Yi ◽  
Xing Jia Yao ◽  
Ying Ming Liu
Keyword(s):  
Energy Storage ◽  
Fuzzy Control ◽  
Wind Power ◽  
Pid Control ◽  
Control Algorithm ◽  
Wind Farm ◽  
Current Loop ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Outer Loop

With the development of wind power technology in recent years, wind power technology has made rapid development. In this paper, the wind farm is the main object of study, the energy storage elements is vanadium redox flow battery (VRB), the use of decoupling control of fuzzy PID control algorithm for real-time changes in PID parameters of the active and reactive power. The outer loop of motor side rectifier is power loop, the inner is current loop. The outer loop of grid side inverter is the voltage loop, the inner is current loop, and based on vector control, the rectifier and inverter achieve decoupling process.The traditional PID is poor in anti-interference ability and robustness,so this paper uses the fuzzy PID control algorithm. The MATLAB/simulation results show that the fuzzy control algorithm can achieve power tracking control,and has strong robustness.

Hardware-in-the-Loop Simulation Research on Driving System of Hybrid Electric Motorcycle

2013 ◽  
Vol 275-277 ◽  
pp. 2445-2450
Author(s):  
Ping Xiao ◽  
Li Tian ◽  
Hong Gao
Keyword(s):  
Control Theory ◽  
Simulation Model ◽  
Pid Control ◽  
Control Algorithm ◽  
Simulation Platform ◽  
Hardware In The Loop ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Driving System ◽  
Hybrid Electric

Abstract. At present, many experts are dedicated to applying new control theory in driving system of hybrid electric motorcycles, but the verification of new control theory in real hybrid electric motorcycles faces many difficulties. Therefore, a hardware-in-the-loop simulation platform of hybrid electric motorcycle’s driving system was designed. At first, mathematic model and simulation model of driving motor were designed. Thereafter, the hardware-in-the-loop simulation platform was designed by taking dSPACE as the carrier of simulation model. In view of multiple values and high nonlinearity of driving system in hybrid electric motorcycles, Bang-Bang Fuzzy PID control algorithm was designed. Furthermore, simulation experiments with different control algorithms were carried out through the hardware-in-the-loop simulation platform designed in this paper. Simulation results indicated that the hardware-in-the-loop simulation platform could work effectively and the control effect of Bang-Bang Fuzzy PID control algorithm was good.

The research on visual industrial robot which adopts fuzzy PID control algorithm

2017 ◽  
Author(s):  
Yifei Feng ◽  
Guoping Lu ◽  
Lulin Yue ◽  
Weifeng Jiang ◽  
Ye Zhang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Industrial Robot ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.

Induction Heating Furnace Temperature Control Based on the Fuzzy PID

2012 ◽  
Vol 217-219 ◽  
pp. 2463-2466 ◽  
Author(s):  
Xue Gang Hou ◽  
Cheng Long Wang
Keyword(s):  
Fuzzy Control ◽  
Temperature Control ◽  
Induction Heating ◽  
Pid Control ◽  
Pid Controller ◽  
Heating Furnace ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Run Up

Induction heating furnace temperature control is a complex nonlinear hysteretic inertial process, it's difficult to obtain an accurate mathematical model because the temperature and disturb from outside is complicated. The normal PID control algorithm is hard to satisfy the standards of control. The fuzzy PID controller provided in this article is a combination between fuzzy control and the traditional PID control. The Fuzzy control theory is used to setting the ratio, the integral and the differential coefficient of the PID control. In the run-up stage, rapidity is guaranteed, overstrike and the steady-state error is up to the mustard. An example indicates that fuzzy PID control is superior to the normal PID controller.

The Improvement of Anti-Surge Control on Air Separation Compressor

2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu
Keyword(s):  
Least Squares ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Regression Equation ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Compressor Surge ◽  
Surge Control

This paper mainly describes the reasons for compressor surge and damage, and provide the traditional control method, which can not meet the growing needs, the improved control method, which according to the data using least squares curve to determine surge control regression equation and make the compressor operate safely by using the fuzzy PID control algorithm on the parameter adjustment.

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