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Two‐Layer Predictive Control of a Continuous Biodiesel Transesterification Reactor

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Listed:
  • Hongyan Shi
  • Dingding Wang
  • Decheng Yuan
  • Tianran Wang

Abstract

A novel two‐layer predictive control scheme for a continuous biodiesel transesterification reactor is presented. Based on a validated mechanistic model, the least squares (LS) algorithm is used to identify the finite step response (FSR) process model adapted in the controller. The two‐layer predictive control method achieves the steady‐state optimal setpoints and resolves the multivariable dynamic control problems synchronously. Simulation results show that the two‐layer predictive control strategy leads to a significant improvement of control performance in terms of the optimal set‐points tracking and disturbances rejection, as compared to conventional PID controller within a multiloop framework.

Suggested Citation

  • Hongyan Shi & Dingding Wang & Decheng Yuan & Tianran Wang, 2013. "Two‐Layer Predictive Control of a Continuous Biodiesel Transesterification Reactor," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    • Handle: RePEc:wly:jnljam:v:2013:y:2013:i:1:n:587841
    DOI: 10.1155/2013/587841
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    References listed on IDEAS

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    1. Eevera, T. & Rajendran, K. & Saradha, S., 2009. "Biodiesel production process optimization and characterization to assess the suitability of the product for varied environmental conditions," Renewable Energy, Elsevier, vol. 34(3), pages 762-765.
    2. Leung, Dennis Y.C. & Wu, Xuan & Leung, M.K.H., 2010. "A review on biodiesel production using catalyzed transesterification," Applied Energy, Elsevier, vol. 87(4), pages 1083-1095, April.
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