摘要 :
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 Propo...
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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 enables us to develop a faster, more optimal controller than by manually tuning the weights by hand.
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摘要 :
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 Propo...
展开
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 enables us to develop a faster, more optimal controller than by manually tuning the weights by hand.
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