PID control system analysis, design, and technology

Ang, K.H., Chong, G.C.Y. and Li, Y. (2005) PID control system analysis, design, and technology. IEEE Transactions on Control Systems Technology, 13(4), pp. 559-576. (doi: 10.1109/TCST.2005.847331)

Abstract

Designing and tuning a proportional-integral-derivative (PID) controller appears to be conceptually intuitive, but can be hard in practice, if multiple (and often conflicting) objectives such as short transient and high stability are to be achieved. Usually, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs or compromises as desired. This stimulates the development of "intelligent" tools that can assist engineers to achieve the best overall PID control for the entire operating envelope. This development has further led to the incorporation of some advanced tuning algorithms into PID hardware modules. Corresponding to these developments, this paper presents a modern overview of functionalities and tuning methods in patents, software packages and commercial hardware modules. It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging. The inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree. This should also assist future development of "plug-and-play" PID controllers that are widely applicable and can be set up easily and operate optimally for enhanced productivity, improved quality and reduced maintenance requirements.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Li, Professor Yun
• Authors: Ang, K.H., Chong, G.C.Y., and Li, Y.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; Q Science > QA Mathematics > QA76 Computer software; T Technology > T Technology (General)
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Research Group: Intelligent Systems
• Journal Name: IEEE Transactions on Control Systems Technology
• Publisher: IEEE
• ISSN: 1063-6536
• Copyright Holders: Copyright © 2005 IEEE
• First Published: First published in IEEE Transactions on Control Systems Technology 13(4):559-576
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.