For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Research on Aviation Electric Power Cyber Physical Systems
p.126
Research on Adaptive Backstepping Global Sliding Control for CPS
p.134
Key Techniques and Performance Analysis of Solar Electric Automobile
p.139
16-Bit A/D CAN Interface Steering Wheel Angle and Torque Acquisition System
p.144
GPC Based PID Control for Superheat Control of Refrigeration System
p.148
PFTTH Construction Research in Shenyang
p.153
Carbon Fiber Multilayer Loom Let off the Mathematical Model of Control System
p.157
An Observer-Based Active Vibration Isolation System Using the Voice-Coil Actuator
p.161
A Study on the Algorithm of Fault Information Automatic Detection for High-Precision Intelligent Instruments
p.167

GPC Based PID Control for Superheat Control of Refrigeration System

Article Preview

Abstract:

Superheat control of refrigeration system features large time-delay. When the operation conditions change, it is difficult for a traditional PID controller with fixed parameters to achieve ideal control effects. Consider the advantage of traditional PID and generalized predictive control (GPC) algorithm, a new PID algorithm based on GPC is proposed in this paper. After obtaining the system model by using the least square identification, the solution of Diophantine equation is used for the PID parameters, which can change adaptive according to the operation conditions. And the simulation results in the last part of the paper prove the efficiency of strategy.

You might also be interested in these eBooks
Advances in Mechatronics, Automation and Applied Information Technologies View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

148-152

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.148

Citation:

Cite this paper

Online since:

November 2013

Authors:

Min Zhao*, Xiao Long Jia, Ping Song

Keywords:

GPC, PID Control, Self-Tuning, Superheat Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] Astrom K.J., Hagglund T. PID controllers: Theory, Design, and Tuning. Instrument Society of America. (1995).

Google Scholar

[2] Chidambaram, M. Design of PI controllers for Integrator/Deadtime processes. Journal of Industrial Chemical, 22(1): 37-41. (1994).

Google Scholar

[3] Asano M., Yamamoto T. A design of self-tuning predictive PID controllers. IEICE Transactions on Fundamentals, E84-A(7): 1779-178. (2001).

Google Scholar

[4] Clark D.W., Mohtadi C., Tuffs P.S. Generalized predictive control - part 1 and part 2. Automatica, 23(2): 137-148. (1987).

DOI: 10.1016/0005-1098(87)90087-2

Google Scholar

[5] Camacho E.F., Bordons C. Model predictive control. Springer-Verlag. (1999).

Google Scholar

[6] Wang Wei. Generalized predictive control theory and application. Process of science, Beijing. (1998).

Google Scholar

[7] Miller R.M., Shah S.L., Kwok E.K. Predictive PID. ISA Transactions, 38: 11-23. (1999).

DOI: 10.1016/s0019-0578(98)90041-6

Google Scholar

[8] Sato T. Design of a GPC-based PID controller for controlling a weigh feeder. Control Engineering Practice, 18(1): 105-113. (2010).

DOI: 10.1016/j.conengprac.2009.12.001

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.