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Experimental evaluation for an extremum seeking control strategy based on input-output correlation with a mini-split air conditioning system.

Number: pap. 2501

Author(s) : ZHAO Z., SALSBURY T. I., HOUSE J. M., et al.

Summary

Extremum Seeking Control (ESC) has emerged as a model-free real-time optimization framework, typically based on dither-demodulation driven gradient estimation. However, conventional ESC (CON-ESC) suffers from slow convergence (Moase et al. 2015). Salsbury et al. (2017) recently proposed an input-output correlation based ESC (IOC-ESC) strategy based on a statistical analysis. This study presents findings from an experimental evaluation for the IOC-ESC strategy with a ductless mini-split air conditioning system, compared with conventional ESC. This AC system has variable-capacity compressors and variable-speed evaporator and condenser fans. Both single-input and multi-input ESCs are tested in our study. The evaporator and condenser fan speeds are the manipulated variables and the total power consumption is used as feedback for all cases. This paper compares the performance of CON-ESC and IOC-ESC based on the test results.

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Pages: 9

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Details

  • Original title: Experimental evaluation for an extremum seeking control strategy based on input-output correlation with a mini-split air conditioning system.
  • Record ID : 30024586
  • Languages: English
  • Source: 2018 Purdue Conferences. 17th International Refrigeration and Air-Conditioning Conference at Purdue.
  • Publication date: 2018/07/09

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