Combining LMS with PID control for H-bridge controlled thermal electric cooler (TEC)

Neil Jacob; Balvinder Kaur

doi:10.1117/12.2563298

21 April 2020 Combining LMS with PID control for H-bridge controlled thermal electric cooler (TEC)

Neil Jacob, Balvinder Kaur

Proceedings Volume 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020; 1139905 (2020) https://doi.org/10.1117/12.2563298
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

In the field of IR technology careful regulation of temperature elements, such as blackbodies or temperature targets is important, particularly for calibration. Feedback based controllers, independent of state space, such as Proportional Integral Derivative (PID) controllers, are a popular and effective way to control these temperature systems. In this paper we explore different types of control for a prototype heated reference target. We show that we can use a combination of PID and Least Means Square (LMS) closed loop adaptive control to determine both the optimal weight proportion and the magnitude of the weights for optimal power draw. This allows us to develop a faster and more optimal controller than by manually tuning the weights by hand.

Conference Presentation

Citation Download Citation

Neil Jacob and Balvinder Kaur "Combining LMS with PID control for H-bridge controlled thermal electric cooler (TEC)", Proc. SPIE 11399, Mobile Multimedia/Image Processing, Security, and Applications 2020, 1139905 (21 April 2020); https://doi.org/10.1117/12.2563298

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available