A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller

We present a platform for implementing low power self-tuning analog proportional-integral-derivative controllers. By using a model-free tuning method, the platform overcomes problems typically associated with reconfigurable analog arrays. Unlike a self-tuning digital PID controller, our prototype co...

Full description

Saved in:
Bibliographic Details
Main Authors: Aggarwal, V., Mao, M., O'Reilly, U.-M.
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
Digital control
Field programmable analog arrays
Hardware
Pi control
Proportional control
Prototypes
Quantization
Three-term control
Tuning
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present a platform for implementing low power self-tuning analog proportional-integral-derivative controllers. By using a model-free tuning method, the platform overcomes problems typically associated with reconfigurable analog arrays. Unlike a self-tuning digital PID controller, our prototype controller combines the advantages of low power, no quantization noise, high bandwidth and high speed. The prototype hardware uses a commercially available field programmable analog array and particle swarm optimization as the tuning method. We show that a self-tuned analog PID controller can outperform a hand-tuned solution and demonstrate adaptability to plant drift
DOI:10.1109/AHS.2006.12