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Predictive Function Optimization Control for a Class of Hydraulic Servo Vibration Systems

Author

Listed:
  • Xugang Feng
  • Jiayan Zhang
  • Jing Wang
  • Shaokang Xiong
  • Qiling Wu
  • Yetai Fei

Abstract

This paper is concerned with the problem of predictive function control (PFC) for a class of hydraulic vibration servo control systems. Our aim is to design a new advanced control strategy such that the control system can track trajectory in a fast and accurate way. For this end, the mathematical model of the hydraulic vibration servo control system is firstly studied. By analyzing the nonlinear, time‐varying, and model structure uncertainty features of the objects, the desired control strategy is presented based on PFC. Finally, the simulation results show that our proposed method is effective and can be used to improve the tracking speed, accuracy, and robustness.

Suggested Citation

  • Xugang Feng & Jiayan Zhang & Jing Wang & Shaokang Xiong & Qiling Wu & Yetai Fei, 2014. "Predictive Function Optimization Control for a Class of Hydraulic Servo Vibration Systems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  • Handle: RePEc:wly:jnlaaa:v:2014:y:2014:i:1:n:750851
    DOI: 10.1155/2014/750851
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    References listed on IDEAS

    as
    1. Shuping He & Fei Liu, 2012. "Adaptive Observer‐Based Fault Estimation for Stochastic Markovian Jumping Systems," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
    2. Shuping He & Fei Liu, 2012. "Adaptive Observer-Based Fault Estimation for Stochastic Markovian Jumping Systems," Abstract and Applied Analysis, Hindawi, vol. 2012, pages 1-11, July.
    Full references (including those not matched with items on IDEAS)

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