Multipoint-measurement multipoint-heating greenhouse temperature control with wooden pellet fuel using an adaptive model predictive control approach with a genetic algorithm

Kazuhisa Ito, Yuma Hara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For the simplest case with a single point measurement and a single heater under operational constraint on heater, a model predictive control [1] was already proposed and applied to evaluate in a real field test. The obtained results indicated the effectiveness of the control although searching for an optimal solution was essentially based on the brute-force attack. It is not feasible to extend the same approach to determine an optimal solution in the case of multipoint temperature measurements and multipoint heaters for calculations in a real time operation. For his problem, a genetic algorithm was applied as a solution to regulate greenhouse temperature for the above-mentioned problem. Model predictive control performance strongly depended on the precision of the mathematical model of greenhouse temperature dynamics, and thus, a recursive least square identification strategy was also introduced to update parameters in the predictor on line. The control results in a laboratory demonstration greenhouse indicated that the proposed method performed well and showed an average decrease of 20-35% in the temperature error. Furthermore, the temperature difference also decreased by an average of 36%.

LanguageEnglish
Title of host publication2017 25th Mediterranean Conference on Control and Automation, MED 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-59
Number of pages6
ISBN (Electronic)9781509045334
DOIs
StatePublished - 2017 Jul 18
Event25th Mediterranean Conference on Control and Automation, MED 2017 - Valletta, Malta
Duration: 2017 Jul 32017 Jul 6

Other

Other25th Mediterranean Conference on Control and Automation, MED 2017
CountryMalta
CityValletta
Period17/7/317/7/6

Fingerprint

Greenhouses
Model predictive control
Temperature control
Genetic algorithms
Heating
Temperature
Temperature measurement
Demonstrations
Mathematical models

ASJC Scopus subject areas

  • Control and Optimization
  • Modelling and Simulation

Cite this

Ito, K., & Hara, Y. (2017). Multipoint-measurement multipoint-heating greenhouse temperature control with wooden pellet fuel using an adaptive model predictive control approach with a genetic algorithm. In 2017 25th Mediterranean Conference on Control and Automation, MED 2017 (pp. 54-59). [7984095] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/MED.2017.7984095

Multipoint-measurement multipoint-heating greenhouse temperature control with wooden pellet fuel using an adaptive model predictive control approach with a genetic algorithm. / Ito, Kazuhisa; Hara, Yuma.

2017 25th Mediterranean Conference on Control and Automation, MED 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 54-59 7984095.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ito, K & Hara, Y 2017, Multipoint-measurement multipoint-heating greenhouse temperature control with wooden pellet fuel using an adaptive model predictive control approach with a genetic algorithm. in 2017 25th Mediterranean Conference on Control and Automation, MED 2017., 7984095, Institute of Electrical and Electronics Engineers Inc., pp. 54-59, 25th Mediterranean Conference on Control and Automation, MED 2017, Valletta, Malta, 17/7/3. DOI: 10.1109/MED.2017.7984095
Ito K, Hara Y. Multipoint-measurement multipoint-heating greenhouse temperature control with wooden pellet fuel using an adaptive model predictive control approach with a genetic algorithm. In 2017 25th Mediterranean Conference on Control and Automation, MED 2017. Institute of Electrical and Electronics Engineers Inc.2017. p. 54-59. 7984095. Available from, DOI: 10.1109/MED.2017.7984095
Ito, Kazuhisa ; Hara, Yuma. / Multipoint-measurement multipoint-heating greenhouse temperature control with wooden pellet fuel using an adaptive model predictive control approach with a genetic algorithm. 2017 25th Mediterranean Conference on Control and Automation, MED 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 54-59
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