Deterministic Performance Assessment and Retuning of Industrial Controllers Based on Routine Operating Data: Applications

Performance assessment and retuning techniques for proportional-integral-derivative (PID) controllers are reviewed in this paper. In particular, we focus on techniques that consider deterministic performance and that use routine operating data (that is, set-point and load disturbance step signals). Simulation and experimental results show that the use of integrals of predefined signals can be effectively employed for the estimation of the process parameters and, therefore, for the comparison of the current controller with a selected benchmark.

[1]  Tore Hägglund,et al.  Automatic detection of sluggish control loops , 1999 .

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

[3]  Qing-Chang Zhong,et al.  Control of Integral Processes with Dead Time , 2010 .

[4]  Antonio Visioli,et al.  Simultaneous closed-loop automatic tuning method for cascade controllers , 2011 .

[5]  Antonio Visioli,et al.  An industrial application of a performance assessment and retuning technique for PI controllers. , 2010, ISA transactions.

[6]  James C. Hung,et al.  Internal Model Control , 2011, Control and Mechatronics.

[7]  Tore Hägglund,et al.  Measurement noise filtering for common PID tuning rules , 2014 .

[8]  Chih-Hung Chiang,et al.  A direct method for multi-loop PI/PID controller design , 2003 .

[9]  Antonio Visioli,et al.  Method for Proportional-Integral Controller Tuning Assessment† , 2006 .

[10]  Tao Liu,et al.  Industrial Process Identification and Control Design , 2011 .

[11]  Antonio Visioli,et al.  Automatic Tuning of Feedforward Controllers for Disturbance Rejection , 2014 .

[12]  Thomas E Marlin,et al.  Process Control , 1995 .

[13]  Julio E. Normey-Rico,et al.  An automatic tuning methodology for a unified dead-time compensator , 2014 .

[14]  P.-G. Eriksson,et al.  Some aspects of control loop performance monitoring , 1994, 1994 Proceedings of IEEE International Conference on Control and Applications.

[15]  Mohieddine Jelali,et al.  An overview of control performance assessment technology and industrial applications , 2006 .

[16]  Antonio Visioli,et al.  Performance Assessment and Retuning of PID Controllers , 2009 .

[17]  Antonio Visioli,et al.  A Technique for Abrupt Load Disturbance Detection in Process Control Systems , 2008 .

[18]  D. Seborg,et al.  PI/PID controller design based on direct synthesis and disturbance rejection , 2002 .

[19]  Thomas F. Edgar,et al.  PID control performance assessment: The single‐loop case , 2004 .

[20]  Antonio Visioli,et al.  Global Minimum-variance PID Control , 2011 .

[21]  Tore Hägglund,et al.  Automatic Tuning and Adaptation for PID Controllers - A Survey , 1992 .

[22]  Antonio Visioli,et al.  A PID automatic tuning method for distributed-lag processes* *This work was partially supported by MIUR scientific research funds. , 2009 .

[23]  T. Harris,et al.  "Internal model control. 4. PID controller design." Comments , 1987 .

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

[25]  Antonio Visioli,et al.  Performance assessment and retuning of PID controllers for integral processes , 2010 .

[26]  Antonio Visioli,et al.  Practical PID Control , 2006 .

[27]  S. Skogestad Simple analytic rules for model reduction and PID controller tuning , 2004 .

[28]  F. G. Shinskey PID-Deadtime Control of Distributed Processes , 2000 .

[29]  Dale E. Seborg,et al.  Controller performance assessment based on setpoint response data , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[30]  Antonio Visioli,et al.  Performance assessment and retuning of PID controllers for load disturbance rejection , 2012 .

[31]  Helene Panagopoulos,et al.  PID Controller Design , 1998 .

[32]  F. G. Shinskey,et al.  Feedback controllers for the process industries , 1994 .

[33]  Daniel E. Rivera,et al.  Internal Model Control , 2010, Encyclopedia of Machine Learning.

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