Measurement noise filtering for common PID tuning rules

Abstract Measurement noise generates undesired control activity resulting in wear of actuators and reduced performance. The effects of measurement noise can be alleviated by filtering the measurement signal. New criteria based on the trade-offs between performance, robustness, and attenuation of measurement noise are proposed for assessment of the design. Simple rules for calculating the filter time constant based on the nominal process model and the nominal controller are derived and a complete tuning procedure is proposed. The tuning procedure accounts for the effects of filtering. It is applied to well-known tuning procedures such as Lambda, SIMC, and AMIGO. The results are illustrated by experiments.

[1]  Tore Hägglund,et al.  Advanced PID Control , 2005 .

[2]  Miroslav R. Mataušek,et al.  Optimization of PID controller with higher-order noise filter , 2014 .

[3]  D. Ridley,et al.  Cape Town, South Africa , 1986, Journal of clinical ultrasound : JCU.

[4]  Sigurd Skogestad,et al.  Tuning for Smooth PID Control with Acceptable Disturbance Rejection , 2006 .

[5]  Tore Hägglund,et al.  Measurement noise filtering for PID controllers , 2014 .

[6]  Tore Hägglund,et al.  Control signal constraints and filter order selection for PI and PID controllers , 2011, Proceedings of the 2011 American Control Conference.

[7]  Alf Isaksson,et al.  Derivative filter is an integral part of PID design , 2002 .

[8]  Tomislav B. Sekara,et al.  Optimization of PID Controller Based on Maximization of the Proportional Gain Under Constraints on Robustness and Sensitivity to Measurement Noise , 2009, IEEE Transactions on Automatic Control.

[9]  F. G. Greg Shinskey,et al.  Process Control Systems: Application, Design and Tuning , 1990 .

[10]  Tore Hägglund,et al.  Design of Measurement Noise Filters for PID Control , 2014 .

[11]  Sigurd Skogestad,et al.  Simple analytic rules for model reduction and PID controller tuning , 2003 .

[12]  Tore Hägglund,et al.  Noise filtering in PI and PID Control , 2013, 2013 American Control Conference.

[13]  Nancy Jean Sell.  Process Control Fundamentals for the Pulp and Paper Industry , 1995 .

[14]  Tore Hägglund,et al.  A Unified Discussion on Signal Filtering in PID Control , 2013 .

[15]  Tore Hägglund,et al.  Criteria and Trade-offs in PID Design , 2012 .

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

[17]  Bengt Lennartson,et al.  Evaluation and simple tuning of PID controllers with high-frequency robustness , 2006 .

[18]  Beatrice Gralton,et al.  Washington DC - USA , 2008 .