Abstract
This paper presents a method of designing self-tuning PID controller based on genetic algorithm for an evaporator in an Organic Rankine Cycle system for waste heat recovery. Compared with Ziegler-Nichols PID controller, the self-tuning PID controller can achieve better control performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Wei, D.H., Lu, X.S., Lu, Z., Gu, J.M.: Dynamic Modeling and Simulation of an Organic Rankine Cycle (ORC) System for Waste Heat Recovery. J. Applied Thermal Engineering 8, 1216–1224 (2008)
Jensen, J.M., Tummescheit, H.: Moving Boundary Models for Dynamic Simulation of Two-Phase Flows. In: 2nd International Modelica Conference, Oberpfaffenhofen, pp. 235–344 (2002)
He, X.D.: Dynamic Modeling and Multivariable Control of Vapor Compression Cycles in Air Conditioning System. Ph.D Thesis, Massachsetts Institute of Technology, Department of Mechanical Engineering (1996)
Gruhle, W.D., Isermann, R.: Modeling and Control of a Refrigerant Evaporator. In: American Control Conference, Darmstadt, pp. 234–240 (1985)
Lin, G.H., Liu, G.F.: Tuning PID Controller Using Adaptive Genetic Algorithms. In: 5th International Conference on Computer Science & Education, pp. 519–523. IEEE Press, Hefei (2010)
Singh, R., Sen, I.: Tuning of PID Controller Based AGC System Using Genetic Algorithms. In: 2004 IEEE Region 10 Conference, TENCON 2004, pp. 531–534. IEEE Press, Bangalore (2004)
Liu, J.K.: Advanced PID Control MATLAB Simulation, 2nd edn. Electronic Industry Press, Beijing (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, J., Zhang, W., Li, Y., Hou, G. (2011). Controller Design for a Heat Exchanger in Waste Heat Utilizing Systems. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds) Advances in Swarm Intelligence. ICSI 2011. Lecture Notes in Computer Science, vol 6729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21524-7_46
Download citation
DOI: https://doi.org/10.1007/978-3-642-21524-7_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21523-0
Online ISBN: 978-3-642-21524-7
eBook Packages: Computer ScienceComputer Science (R0)