Design of flux-weakening control system of PMSM based on the fuzzy self-tuning PID controller

Author(s):  
Wang Wei
2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing

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.


2010 ◽  
Vol 97-101 ◽  
pp. 2995-3000
Author(s):  
Chun Ping Cao ◽  
Yu Sun

Blank-holder Force (BHF) control technology is an important guarantee for the quality of parts forming. Taking YJ28E—1000/1600Q hydraulic press as object, a hydraulic fuzzy control model based on self-tuning fuzzy-PID is built to deal with the undesirable dynamic response and the low steady-state precision of the hydraulic control system. The look-up table for optimal control parameters is generated from MATLAB Toolbox. A simulation study of the system shows that the dynamic response and steady-state precision is improved greatly by adopting this kind of self-adaptive fuzzy-PID controller.


2012 ◽  
Vol 538-541 ◽  
pp. 1122-1129
Author(s):  
Qiang Li ◽  
Qi Tang Hao ◽  
Wan Qi Jie

Pressurization control system plays an important role in the process control at the stages of riser-tube filling, mold-filling, pressure-increasing and pressure maintaining in counter-gravity casting. Casting quality is affected by the precision of pressurization control system to a great extent. Input and output scaling factors of conventional fuzzy controller are static, which is hard to ensure a suitable state for various counter-gravity casting equipments. A new fuzzy controller with self-tuning scaling factors has been developed in our laboratory, which will be described in this paper. Input and output scaling factors of fuzzy controller are tuned by different error ranges. When the differential pressure error is large, output scaling factor is increased to speed up dynamic response. At the same time, input scaling factors are also increased in order to reduce steady state error. Compared to fuzzy controller and conventional PID controller, fuzzy-PID controller with self-tuning scaling factors has more steady-state precision and excellent robustness. Experimental results show that at riser-tube filling stage and mold-filling stage the gas flow is stable, and the tracking property of pressurization control system is very satisfactory.


2012 ◽  
Vol 468-471 ◽  
pp. 1448-1452 ◽  
Author(s):  
Jian Chen ◽  
Jian Ping Shu ◽  
Mian Li ◽  
Qi Zhou ◽  
Zhu Ming Su

The flow rate of a novel self-spinning high speed hydraulic on/off valve is regulated by changing the relative axial position (the duty cycle) of the valve spool to the nozzles located on the valve body through driving a gerotor pump using brushless direct current motor. The closed loop axial position control system of the valve spool with feedback of the axial displacement of the valve spool has shorter response time, and not more ripple of output pressure than corresponding open loop control system. A fuzzy logic parameter self-tuning PID controller is investigated to overcome nonlinearity of the control system. The simulation results show that the overshoot is decreased greatly than conventional PID controller.


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