The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2021
Session ID : J122-10
Conference information

Development of Optimizing Technique for Temperature Control Based on Bayesian Optimization
*Wataru SATOKoma SATONobuyuki ISOSHIMAYoko MAKINOMasashi SHIBAHARA
Author information
CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details
Abstract

Generally, a peltier device is controlled by PID control method. The performance of the temperature control depends on its PID parameters, and the optimum parameters have been explored through many try and errors. Those process have required huge effort of the engineers. So, we have used Bayesian Optimization method which is based on Bayesian statistics to optimize the parameters for PID control automatically. We adopted Bayesian Optimization method which was based on Bayesian statistics to optimize the parameters for the temperature settings automatically. We had constructed the temperature control unit to realize the rapid and the precise temperature control. Those process have required only 20 trials to improve the fast response and stability of the temperature control.

Content from these authors
© 2021 The Japan Society of Mechanical Engineers
Previous article Next article
feedback
Top