Simplified filtered Smith predictor for high-order dead-time processes.

This paper proposes a control structure suitable for high-order non-minimum phase (NMP) processes. In general, dead-time compensators (DTCs) firstly predict the process output with zero error at a steady-state and then a primary controller with an integrator is designed based on the delay-free model. The main advantage of the proposed structure is that the primary controller is only a state feedback gain with no integrators. This leads to fewer parameters to tune and lower order filters, while a robustness filter is used to reject disturbances and guarantee zero error at a steady state. Simulation results show better or equivalent performance compared to other recently published works, even kept the controller design simplicity.

[1]  Pedro Albertos,et al.  Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay , 2013 .

[2]  Shoulin Hao,et al.  Generalized predictor based active disturbance rejection control for non-minimum phase systems. , 2019, ISA transactions.

[3]  Eduardo F. Camacho,et al.  Control of dead-time processes , 2007 .

[4]  Bismark Claure Torrico,et al.  Simplified dead-time compensator for multiple delay SISO systems. , 2016, ISA transactions.

[5]  Tao Liu,et al.  Heating-up control with delay-free output prediction for industrial jacketed reactors based on step response identification. , 2018, ISA transactions.

[6]  Wim Michiels,et al.  On the delay sensitivity of Smith Predictors , 2003, Int. J. Syst. Sci..

[7]  Eduardo F. Camacho,et al.  Unified approach for robust dead-time compensator design , 2009 .

[8]  O Smith,et al.  CLOSER CONTROL OF LOOPS WITH DEAD TIME , 1957 .

[9]  Evanghelos Zafiriou,et al.  Robust process control , 1987 .

[10]  Zhiqiang Gao,et al.  Modified active disturbance rejection control for time-delay systems. , 2014, ISA transactions.

[11]  Bismark C Torrico,et al.  Tuning of a dead-time compensator focusing on industrial processes. , 2018, ISA transactions.

[12]  Jürgen Ackermann,et al.  On the synthesis of linear control systems with specified characteristics , 1975, Autom..

[13]  R Sanz,et al.  A generalized smith predictor for unstable time-delay SISO systems. , 2017, ISA transactions.

[14]  Tao Liu,et al.  New Predictor and 2DOF Control Scheme for Industrial Processes With Long Time Delay , 2018, IEEE Transactions on Industrial Electronics.

[15]  Jianbo Su,et al.  Disturbance rejection control for non-minimum phase systems with optimal disturbance observer. , 2015, ISA transactions.

[16]  Masami Ito,et al.  A process-model control for linear systems with delay , 1981 .

[17]  Z. Artstein Linear systems with delayed controls: A reduction , 1982 .

[18]  Wen Tan,et al.  Control of unstable processes with time delays via ADRC. , 2017, ISA transactions.

[19]  Julio E. Normey-Rico,et al.  Dealing with noise in unstable dead-time process control , 2010 .

[20]  Ahmad Ali,et al.  Analytical design of modified Smith predictor for unstable second-order processes with time delay , 2017, Int. J. Syst. Sci..

[21]  Pedro Albertos,et al.  A new dead-time compensator to control stable and integrating processes with long dead-time , 2008, Autom..

[22]  Bismark C. Torrico,et al.  Anti-windup dead-time compensation based on generalized predictive control , 2016, 2016 American Control Conference (ACC).

[23]  J. E. Normey-Rico,et al.  Simple Tuning Rules for Dead-Time Compensation of Stable, Integrative, and Unstable First-Order Dead-Time Processes , 2013 .

[24]  Dewei Li,et al.  Predictor-Based Disturbance Rejection Control for Sampled Systems With Input Delay , 2019, IEEE Transactions on Control Systems Technology.

[25]  Pedro Albertos,et al.  Robust control design for long time-delay systems , 2009 .