Fuzzy-PID control theory and its application to the mine hoist

2012 ◽  
Author(s):  
Ma Donglin ◽  
Xijun Zhang
Keyword(s):  
Control Theory ◽  
Pid Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Mine Hoist

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.

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.

Predictive fuzzy PID control: theory, design and simulation

2001 ◽  
Vol 137 (1-4) ◽  
pp. 157-187 ◽  
Author(s):  
Jialiang Lu ◽  
Guanrong Chen ◽  
Hao Ying
Keyword(s):  
Control Theory ◽  
Pid Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control

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.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

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.

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