An automated least-squares parameter identification technique and optimal PID control

Author

George Shu-xing Cheng

Date of Award

3-1985

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

James C. Hung

Committee Members

J. M. Googe, J. M. Bailey

Abstract

This thesis presents the result of a study on the PID control theory and application. A so-called automated least squares parameter identification algorithm is developed and implemented with a HP desktop computer. This technique can automatically model most stable SISO processes in the first-order-lag-plus-delay (FOLPD) or first-order-lag (POL) form based on the least-squares curve-fitting criterion. The POL and POLPD model related PID controller tuning techniques are reviewed and improved based on the commonly preferred control performance specification: the 0.707 damping ratio criterion. Simulations of tuned PID control systems relating to the optimal models and controller settings are performed. Very interesting and encouraging results are obtained.

Recommended Citation

Cheng, George Shu-xing, "An automated least-squares parameter identification technique and optimal PID control. " Master's Thesis, University of Tennessee, 1985.
https://trace.tennessee.edu/utk_gradthes/13946