Abstract
Main steam pressure is an important physical quantity that reflects the energy supply-demand relationship between the boiler and turbine. It has a significant role in the unit operation. Because boiler burning behavior varies greatly and the model of main steam pressure is of highly uncertainty, conventional control method can not obtain the expected control effect. In order to improve system control quality, a robust controller for main steam pressure is designed by using the H∞ mixed sensitivity approach in this paper. To better meet the site requirements, adding more restrictions in design, author innovation to put such a complex issue into multi-objective optimization problems. SPEA2 (The Strength Pareto Evolutionary Algorithm 2) are used to optimize the parameters of weighing functions in order to search for the H∞ controller which meets the time-and frequency-domain indexes. Simulation results show that the design of the main steam pressure control system has an excellent robust stability and dynamic quality.
This is a preview of subscription content, log in via an institution to check access.
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
Liu, H.B., Li, S.Y., Chai, T.Y.: Intelligent Decoupling Control of Plant Main Steam Pressure and Power Output. Electrical Power and Energy Systems 25(10), 809–819 (2003)
Oloomi, H., Shafai, B.: Weight Selection in Mixed Sensitivity Robust Control for Improving the Sinusoidal Tracking Performance. In: Proc IEEE CDC, Hawaii, pp. 300–305 (2003)
Tang, K.S., Man, K.F., Gu, D.W.: Structured genetic algorithm for robust H∞ control systems design. IEEE Trans. on Industrial Electronics 43(5), 575–582 (1996)
Zitzler, E., Thiele, L.: Multi-objective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Trans. on Evolutionary Computation 3(4), 257–271 (1999)
Claudomiro, S., Roberto, M., Rodrigues, Fredrik, L., Joao, C.: Topology Identification Using Multiobjective Evolutionary Computation. IEEE Transactions on Instrumentation 59(3), 715–729 (2010)
Zitzler, E., Lanumanns, M., Thiele, L.: SPEA2: improving the strength Pareto evolutionary algorithm for multiobjective optimization. In: Evolutionary Methods for Design, CIMNE, Barcelona (2002)
Kumaja, S., Maheswarapu, S.: Enhanced Genetic Algorithm based Computation Technique for Multi-objective Optimal Power Flow Solution A Parallel Skeleton for the Strength Pareto Evolutionary Algorithm. Electrical Power and Energy Systems 32, 736–742 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, S., Hua, D., Zhang, Z., Li, M., Yao, K., Wen, Z. (2012). Robust Controller Design for Main Steam Pressure Based on SPEA2. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-24553-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24552-7
Online ISBN: 978-3-642-24553-4
eBook Packages: Computer ScienceComputer Science (R0)