Predictive Control Strategy of Hydraulic Turbine Turning System Based on BGNN Neural Network

  • Yijian Liu
  • Yanjun Fang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5370)


A model predictive control (MPC) strategy based on a novel Bayesian-Gaussian neural network (BGNN) model was proposed for the controller design of hydraulic turbine in this paper. The BGNN was used to learn the nonlinear dynamic model of controlled hydraulic turbine on-line as the predictive model for the design of MPC controller. Experiments show that the proposed nonlinear MPC strategy based on BGNN performs much better than the conventional PID controller.


Hydraulic Turbine BGNN Predictive Control neural network 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Yijian Liu
    • 1
    • 2
  • Yanjun Fang
    • 1
  1. 1.Department of AutomationWuhan UniversityChina
  2. 2.School of Electrical & Automation EngineeringNanjing Normal UniversityJiangsuChina

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