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Coordinated controller tuning of a boiler turbine unit with new binary particle swarm optimization algorithm

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Abstract

Coordinated controller tuning of the boiler turbine unit is a challenging task due to the nonlinear and coupling characteristics of the system. In this paper, a new variant of binary particle swarm optimization (PSO) algorithm, called probability based binary PSO (PBPSO), is presented to tune the parameters of a coordinated controller. The simulation results show that PBPSO can effectively optimize the control parameters and achieves better control performance than those based on standard discrete binary PSO, modified binary PSO, and standard continuous PSO.

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Authors and Affiliations

  1. Shanghai Key Laboratory of Power-Station Automation Technology, Shanghai University, Shanghai, 200072, PRC

    Muhammad Ilyas Menhas, Ling Wang & Min-Rui Fei

  2. East China Electric Power Design Institute, Shanghai, 200063, PRC

    Cheng-Xi Ma

Authors
  1. Muhammad Ilyas Menhas
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  2. Ling Wang
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  3. Min-Rui Fei
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  4. Cheng-Xi Ma
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Corresponding author

Correspondence to Muhammad Ilyas Menhas.

Additional information

This work was supported by Projects of Shanghai Science and Technology Community (No. 10ZR1411800, No. 08160705900, No. 08160512100), Shanghai University “the 11th Five-Year Plan”, 211 Construction Project, and Mechatronics Engineering Innovation Group Project from Shanghai Education Commission.

Muhammad Ilyas Menhas received the B. Sc. degree in electrical engineering from University of Azad Jammu & Kashmir Pakistan in 2002. He has been an assistant engineer in AJK Electricity Department and a visiting lecturer at Centre for Computer Science and Information Technology University College Kotli, Azad Jammu & Kashmir, Pakistan. Currently, he is a Ph.D. candidate at School of Mechatronics and Automation Shanghai University, Shanghai, PRC.

His research interests include intelligent optimization algorithms and automatic control.

Ling Wang received the B. Sc. and Ph.D. degrees in control theory and control engineering from East China University of Science and Technology, PRC in 2002 and 2007, respectively. He is an associate professor at School of Mechatronics and Automation, Shanghai University, PRC.

His research interests include intelligent optimization algorithms and automatic control.

Min-Rui Fei received the Ph.D. degree in control theory and control engineering from Shanghai University, PRC in 1997. Since 1998, he has been a professor at School of Mechatronics and Automation, Shanghai University. He is a vice chairman of Chinese Association of System Simulation, a standing director of China Instrument & Control Society, and director of Chinese Artificial Intelligence Association.

His research interests include intelligent control, networked control system, and wireless sensor networks.

Cheng-Xi Ma received the M. Sc. degree in control theory and control engineering from School of Mechatronics and Automation, Shanghai University, PRC in 2010. He is an employee of East China Electric Power Design Institute, PRC.

His research interests include optimization and automatic control.

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Menhas, M.I., Wang, L., Fei, MR. et al. Coordinated controller tuning of a boiler turbine unit with new binary particle swarm optimization algorithm. Int. J. Autom. Comput. 8, 185–192 (2011). https://doi.org/10.1007/s11633-011-0572-6

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  • DOI: https://doi.org/10.1007/s11633-011-0572-6

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