Performance evaluation of the boiler combustion control system based on data-driven

Most of the industrial control loops are multivariable control loops, so the control system performance evaluation is the major study of multivariable control system. The combustion control system of power unit is a typical multivariable control system, which is used to guarantee the economy and safety of the boiler. This paper presents a kind of performance evaluation method based on data-driven. The normal operation of the system does not produce additional perturbation and the calculation is simple and convenient to implement. This method can be reliable and accurate implementation to other multivariable control system.

[1]  Biao Huang,et al.  Multirate Minimum Variance Control Design and Control Performance Assessment: A Data-Driven Subspace Approach , 2007, IEEE Transactions on Control Systems Technology.

[2]  S. Joe Qin,et al.  Control performance monitoring — a review and assessment , 1998 .

[3]  S. Joe Qin,et al.  Statistical MIMO controller performance monitoring. Part II: Performance diagnosis , 2008 .

[4]  Sirish L. Shah,et al.  Feedforward plus feedback controller performance assessment of MIMO systems , 2000, IEEE Trans. Control. Syst. Technol..

[5]  K. Åström Introduction to Stochastic Control Theory , 1970 .

[6]  T. Harris Assessment of Control Loop Performance , 1989 .

[7]  S. Joe Qin,et al.  Statistical MIMO controller performance monitoring. Part I: Data-driven covariance benchmark , 2008 .

[8]  Biao Huang,et al.  Subspace Approach to MIMO Feedback Control Performance Assessment , 2008 .

[9]  Biao Huang,et al.  Performance Assessment of Control Loops , 1999 .

[10]  Nina F. Thornhill,et al.  Detection of multiple oscillations in control loops , 2003 .

[11]  Biao Huang,et al.  Multi-step prediction error approach for controller performance monitoring , 2010 .

[12]  Sirish L. Shah,et al.  Performance Assessment of Control Loops: Theory and Applications , 1999 .

[13]  Qiang Zhang,et al.  Performance Monitoring and Diagnosis of Multivariable Model Predictive Control Using Statistical Analysis , 2006 .

[14]  Toru Yamamoto,et al.  Design of a Data-Driven Performance-Adaptive PID Controller , 2007 .