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

Author:

Li Qiang1,Hao Qi Tang1,Jie Wan Qi1

Affiliation:

1. Northwestern Polytechnical University

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference12 articles.

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).

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