On-line Tuning Strategy for PI Control Algorithms Based on Simple Linear Models

On-line model-based tuning of the parameters of conventional PI control algorithms is considered. This is accomplished to satisfy the requirement of preset performance specifications. The specifications are defined as time-domain response envelopes, which are appealing to the practitioner. The parameter adaptation at each sampling point is accomplished via using a linear relationship between process outputs and PI tuning parameters. Thus the adaptation strategy directly uses the sensitivity of the closed-loop response to the parameters. In this paper, the model used for calculating the sensitivity is a first order model developed by a simple step testing of the plant. Such a model is very common in industrial practice. The efficiency of the method is presented through simulated implementation on two nonlinear reactor examples.

[1]  Q. P. Ha Proportional-integral controllers with fuzzy tuning , 1996 .

[2]  Yeong-Koo Yeo,et al.  A Neural PID Controller for the pH Neutralization Process , 1999 .

[3]  William L. Luyben,et al.  Tuning Temperature Controllers on Openloop Unstable Reactors , 1998 .

[4]  Hsiao-Ping Huang,et al.  Tuning of PI/PID Controllers Based on Specification on Maximum Closed-Loop Amplitude Ratio , 1999 .

[5]  Hsiao-Ping Huang,et al.  Auto-Tuning of PID Controllers for Second Order Unstable Process Having Dead Time , 1999 .

[6]  Jose Alvarez-Ramirez,et al.  Robust proportional-integral control , 1998 .

[7]  Wei Wu Adaptive nonlinear control of nonminimum-phase processes , 1999 .

[8]  M. Morari,et al.  Internal Model Control: extension to nonlinear system , 1986 .

[9]  Emad Ali,et al.  Improved regulatory control of industrial gas-phase ethylene polymerization reactors , 1999 .

[10]  M. Morari,et al.  Internal model control. VI: Extension to nonlinear systems , 1986 .

[11]  Young Han Kim,et al.  Process Identification and PID Controller Tuning in Multivariable Systems , 1998 .

[12]  Yu Zhang,et al.  Multiloop Version of the Modified Ziegler−Nichols Method for Two Input Two Output Processes , 1998 .

[13]  P. McLellan,et al.  Robust Multiloop PID Controller Design: A Successive Semidefinite Programming Approach , 1999 .

[14]  M. Alpbaz,et al.  Self-Tuning Control of Batch Polymerization Reactor , 1998 .

[15]  Hsiao-Ping Huang,et al.  A Simple Multiloop Tuning Method for PID Controllers with No Proportional Kick , 1999 .

[16]  Emad Ali Control of Nonlinear Chemical Processes Using Adaptive Proportional-Integral Algorithms , 2000 .

[17]  Emad Ali On-line Tuning Strategy for PI Control Algorithms , 1999 .

[18]  Karl O. Jones,et al.  Auto-Tuning PID Control of Dissolved Oxygen in a Saccharomyces Cerevisiae Fermentation , 1996 .

[19]  Jietae Lee,et al.  One-Parameter Method for a Multiloop Control System Design , 1999 .

[20]  Marzuki Khalid,et al.  Self-tuning PID control: A multivariable derivation and application , 1993, Autom..

[21]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[22]  Masao Imaeda,et al.  Auto-Tuning PID Controller Based on Generalized Minimum Variance Control for a PVC Reactor , 1998 .