Automatic optimal control of Field Assisted Sintering Technology

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

In this paper, we introduce a novel model-free optimal control algorithm that finds the near optimal energy saving control trajectory from the observations of the process data. Conventional optimal control algorithms have not been able to find the optimal solution without the dynamic models of the system. Therefore a computationally expensive system identification process has been indispensable to control a black box dynamical system. The algorithm we provide in this paper eliminates the need for the system identification and quickly finds a near optimal solution by calculating the minimum dynamic information from the observed data. Since the algorithm runs with only time series type data, it is indeed model-free and especially versatile for a black-box dynamical system. We show the framework of this new optimizing method for a recent hot manufacturing process, Field Assisted Sintering Technology (FAST), whose dynamic mechanism is not revealed yet.

Original languageEnglish (US)
Article number6899412
Pages (from-to)764-769
Number of pages6
JournalIEEE International Conference on Automation Science and Engineering
Volume2014-January
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE International Conference on Automation Science and Engineering, CASE 2014 - Taipei, Taiwan, Province of China
Duration: Aug 18 2014Aug 22 2014

Fingerprint

Spark plasma sintering
Identification (control systems)
Dynamical systems
Time series
Dynamic models
Energy conservation
Trajectories

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

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title = "Automatic optimal control of Field Assisted Sintering Technology",
abstract = "In this paper, we introduce a novel model-free optimal control algorithm that finds the near optimal energy saving control trajectory from the observations of the process data. Conventional optimal control algorithms have not been able to find the optimal solution without the dynamic models of the system. Therefore a computationally expensive system identification process has been indispensable to control a black box dynamical system. The algorithm we provide in this paper eliminates the need for the system identification and quickly finds a near optimal solution by calculating the minimum dynamic information from the observed data. Since the algorithm runs with only time series type data, it is indeed model-free and especially versatile for a black-box dynamical system. We show the framework of this new optimizing method for a recent hot manufacturing process, Field Assisted Sintering Technology (FAST), whose dynamic mechanism is not revealed yet.",
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Automatic optimal control of Field Assisted Sintering Technology. / Lee, Jinkun; Singh, Jogender; Prabhu, Vittaldas V.

In: IEEE International Conference on Automation Science and Engineering, Vol. 2014-January, 6899412, 01.01.2014, p. 764-769.

Research output: Contribution to journalConference article

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