Application of Fuzzy Controller with Self-Tuning Scaling Factors for the Filling System of Counter-Gravity Casting

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 538-541)
• Pages: 1122-1129
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.538-541.1122
• Online since: June 2012
• Authors: Qiang Li, Qi Tang Hao, Wan Qi Jie
• Keywords: Counter-Gravity Casting, Fuzzy Control, Fuzzy Inference System (FIS), Pressurization Control System, Process Control

References

[1] Tang Duoguang. ALooking Forward to the Future for Low-pressure Die Casting in the 21st Century [J].Special Casting &NonferrousAlloys, Die-casting special issue,(2002) 170-172 (IN CHINESE)

[2] Li Xin-lei, Hao Qi-tang, Li qiang, Jie Wan-qi. Study on Technology of Multifunction Counter Gravity Casting Equipment [J], Foundry, No.7, Vol.56, (2007)727-730 (IN CHINESE)

[3] Hassan B.K azemian, SMIEEE. Development of an intelligent fuzzy controller. 2001 IEEE International Fuzzy Systems Conference,517-520

[4] Liu Bo-chun.Intelligent Self-tuning PID regulator progress [J].Control and Instruments in Chemical Industy, Vol.21, (1994)46-48 (IN CHINESE)

[5] Zhou Yu-chuan，Hao Qi-tang，Li Xin-lei.Application of Fuzzy-PID Controller in Counter-gravity casting Filling System[J], Foundry.Vol.57, (2008)36-39 (IN CHINESE)

[6] Li Jin-hui，Hao Qi-tang，Zhou Yu-chuan.Lowpressure die casting of Fuzzy-PID control system in the realization of the PLC [J]. Special Casting &NonferrousAlloys, No.3, Vol.28,(2008) 183-185 (IN CHINESE)

[7] Yao Xi-fan.Low pressure Die Casting Pressure Level Adaptive fuzzy and integral control [J]. Special Casting &NonferrousAlloys,Supplement, (2008)33-35 (IN CHINESE)

[8] Li Shi-yong.Fuzzy control, neural control and intelligent control theory [M].Harbin：Harbin Institute of Technology Press. (1998)277 (IN CHINESE)

[9] Rajani K.Mudi, Nikhil R.Pal. A self-tuning fuzzy PI controller[J]. Fuzzy Set. Syst., 115,(2000) 327-338

DOI: 10.1016/s0165-0114(98)00147-x

[10] Jung Chul-Hwan, Ham Chang-Shik, Lee Kuhn-II. A real-time self-tuning fuzzy controller through scaling factor adjustment for the steam generator of NPP. Fuzzy Set. Syst., 74, (1995) 53-60

DOI: 10.1016/0165-0114(95)00035-j

[11] Chung Hung-Yuan, Chen Bo-Chin, Lin Jin-Jye. A PI-type fuzzy controller with self-tuning scaling factors[J]. Fuzzy Set. Syst., 93, (1998) 23-28

DOI: 10.1016/s0165-0114(96)00215-1

[12] Y. C. Zhou, Q. T. Hao, X. L. Li and J. H. Li. Application of fuzzy PID self-adaptive controller in pressurization control system of counter gravity casitng.Int. J. Cast. Metal. Res. Vol. 21 No.5, (2008) 381-386

DOI: 10.1179/136404608x343648