PIDm Control for IPDT Plants. Part 2: Setpoint Response

The paper continues in developing generalized two-degree-of-freedom (2DOF) proportional-integral-derivative (PID) control with the mth order derivative action, m[0,1] and with n ≥ mth order series binomial filters. By focussing on the setpoint responses, the explicit tuning formulas of a 1DOF PIDnm control for the integral-plus-dead-time (IPDT) plant models derived by the multiple real dominant pole method are augmented by the optimal prefilter enabling to cancel up to m + 1 of the m + 2 tuple dominant closed loop poles and thus to accelerate the setpoint step responses. Since in Matlab/Simulink, the simulative setpoint response evaluation of the PIDnm with m > 0 and IPDT plant is strongly limited by the numerical solver imperfections, the second part of the contribution brings also an experimental evaluation by real time control of a thermal plant. This fully confirms excellent properties of the novel type of control which, due to its high robustness, enables to simplify the plant identification and to work with the simple IPDTs model also in the case of selfregulating processes with significantly more complex dynamics.

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

[2]  A. Vitecek,et al.  2DOF PI and PID Controllers Tuning , 2010 .

[3]  Zhiqiang Gao,et al.  On the centrality of disturbance rejection in automatic control. , 2014, ISA transactions.

[4]  M. Huba,et al.  Comparing filtered PI, PID and PIDDcontrol for the FOTD plants , 2018 .

[5]  Cédric Join,et al.  Model-free control , 2013, Int. J. Control.

[6]  Pavol Bistak,et al.  New Thermo-Optical Plants for Laboratory Experiments , 2014 .

[7]  M. Huba Extending spectrum of filtered controllers for IPDT plant models , 2018, 2018 Cybernetics & Informatics (K&I).

[8]  Michel Ruel USING FILTERING TO IMPROVE PERFORMANCE , 2003 .

[9]  Tore Hägglund,et al.  Signal filtering in PID control , 2012 .

[10]  Pavol Bisták,et al.  PIDmnControl for IPDT Plants. Part 1: Disturbance Response , 2018, 2018 26th Mediterranean Conference on Control and Automation (MED).

[11]  Katarína Žáková,et al.  Constrained Control for Systems with Relative Degree One , 2008 .

[12]  Pavel Zítek,et al.  Dominant four-pole placement in filtered PID control loop with delay , 2017 .

[13]  Pavel Zítek,et al.  Dimensional analysis approach to dominant three-pole placement in delayed PID control loops , 2013 .

[14]  M. Huba,et al.  Laboratory Model of Thermal Plant Identification and Control , 2016 .

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

[16]  Mikulas Huba,et al.  Introduction to the Discrete Time PIDmn Control for the IPDT Plant , 2018 .

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