Skip to main content
Log in

An intelligent controller for process automation

  • Published:
Journal of Intelligent and Robotic Systems Aims and scope Submit manuscript

Abstract

This paper presents a novel supervisory controller that incorporates both a procedural and rule-based language and is capable of responding to asynchronous real-time sensor interrupts. This supervisory controller has been used for automating the manual operations in GaAs crystal growth in a liquid encapsulated Czochralski (LEC) process-based puller from Cambridge Instruments (CI-358). Although commerical crystal-growth controllers provide some degree of automation to help in relieving the burden on an operator, it is essentially the skill and experience of an operator that determines the quality of the crystals grown. Thus, reproducibility of the process is limited, thereby limiting the quality of crystals grown. This controller, referred to as theMeta-Controller (MC), executes ‘plans’ to sequence the operations of crystal growth. Plans are structured English-like representations of scripts that operators follow to grow crystals. Plans are then executed by the Meta-Controller, which responds to asynchronous sensor data interrupts in real time, and issues actuator commands to a real-time controller module. The notion of time is explicitly incorporated into the syntax of the language. Software structures referred to aslogical sensors and logical actuators perform the translation from numeric to symbolic values and vice-versa. The Meta-Controller has been successfully demonstrated on an LEC puller and has automated three phases of crystal growth, including the ‘seed-on’ phase which is currently the most manual-intensive operation in GaAs crystal growth. The other two phases are ‘synthesis’ and ‘meltback’. More plans are currently being written to automate the entire process of crystal growth.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Allen, J.F., An interval-based representation of temporal knowledge,Proc. 7th IJCAI, Vancouver, B.C., August 1981.

  2. Badami, V.V., Nielsen, P. and Comly, J.B., A real-time, knowledge-based supervisory controller for process automation,Symp. Intelligent Processing of Materials, ASM-TMS 1989 Fall Meeting, Indianapolis, 2–6 October, 1989.

  3. Bernstein, B. and Hogle, R.et al., MICA—object oriented systems for the real world—developing applications, Vol. 3, TBP 1990, General Electric, Corporate Research & Development Center, Schenectady, NY 12301.

  4. Charniak, E., Riesbeck, C.K., McDermott, D.V. and Meehan, J.R.Artificial Intelligence Programming, Lawrence Erlbaum Associates, Hillsdale, NJ, 1987.

    Google Scholar 

  5. Cruise, A., Ennis, R., Finkel, A., Hellerstein, J., Klein, D., Loeb, D., Masullo, M., Milliken, K., Van Woerkom, H. and Wait, N., YES/L1: Integrating rule-based procedural, and real-time programming for industrial applications,Proc. 3rd Conf. AI Applications, 1987, pp. 134–9.

  6. Goldberg, H.S., Intelligent processing of gallium arsenide bulk crystal growth,Symp. Intelligent Processing of Materials, ASM-TMS 1989 Fall Meeting, Indianapolis, 2–6 October, 1989.

  7. Haefner, K., GaAs model verification and control design symmary—phase I, Intelligent processing initiative—Phase I final report for DARPA contract ARO DAAL03-86-C-0022, 1989.

  8. Kuroda, C., Tomita, M., Castillo, G.C. and Ishida, M., Development of a language that allows both procedural and inferential programming and its application to rule-based control,J. Chem. Eng. Japan 21, No. 6 (1988).

    Google Scholar 

  9. Moore, R., Gs—A real-time process control system,Electro/88 Conf. Proc.

  10. Nielsen, P., Badami, V.V. and Comly, J.B., A meta-controller for supervisory process control,Expert and Knowledge-Based System Applications in Materials Processing and Manufacturing, 19–22 February, 1990, Anaheim, CA.

  11. Pardee, W.J. and Hayes-Roth, B., Intelligent real time control of material processing. Technical Research Report I, Rockwell International Science Center, Palo Alto Laboratory, February 1987.

  12. Riedling, K., Autonomous liquid encapsulated Czochralski (LEC) growth of single crystal GaAs by ‘intelligent’ digital growth,J. Crystal Growth 89 435–446 (1988).

    Google Scholar 

  13. Walther, E., Badami, V.V., Comly, J.B., Nielsen, P.N. and Nguyen, V.D., Real-time temporal & causal reasoning for intelligent control,Proc. 2nd Interna. Conf. Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, Tullahoma, TN, 6–9 June, 1989.

Download references

Author information

Authors and Affiliations

Authors

Additional information

This research was supported by the Advanced Research Projects Agency of the Department of Defense under Contract DAAL03-86-C-0022, and the Army Research Office. Views and conclusions contained in this paper are those of the authors and should not be interpreted at representing the official opinion or policy of DARPA or of the U.S. Government

Rights and permissions

Reprints and permissions

About this article

Cite this article

Badami, V.V., Nielsen, P. & Comly, J.B. An intelligent controller for process automation. J Intell Robot Syst 4, 55–73 (1991). https://doi.org/10.1007/BF00452102

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00452102

Key words

Navigation