IAE optimization of delayed PID control loops using dimensional analysis approach

A specific issue of the PID control loop with time delay is the contradiction of its infinite-order dynamics with the only three controller parameters used to adjusting its behaviour. For selecting the optimum PID parameters the IAE criterion has been used as performance measure of the disturbance rejection in the investigated control loop. In order to obtain the results in a generic form the dimensionless description of the control loop, originally introduced in [14], was applied. The plant model is based on the dimensional analysis, reducing the relevant parameters of the control loop to a pair of similarity numbers, namely the so-called laggardness (ϑ) and swingability (λ) numbers. The IAE optimum search is performed by means of the gradient-based method over a representative set of options of λ, ϑ, and the optimum PID controller parameters are assessed for the whole considered area of λ, ϑ. To each of the optimum rejection responses a characteristic quasi-polynomial corresponds and then the rightmost part of its spectrum can be evaluated. The large scale spectral analysis has shown that for all of the investigated options a double pair group of poles results as dominant in the control loop dynamics. The final result of the paper consists in summarizing the IAE optimum settings of PID and comparing the obtained natural frequency angles of the control responses and their damping.

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

[2]  Tomás Vyhlídal,et al.  Ultimate-Frequency Based Three-Pole Dominant Placement in Delayed PID Control Loop , 2012, TDS.

[3]  Etsujiro Shimemura,et al.  The linear-quadratic optimal control approach to feedback control design for systems with delay , 1988, Autom..

[4]  Tomás Vyhlídal,et al.  Mapping Based Algorithm for Large-Scale Computation of Quasi-Polynomial Zeros , 2009, IEEE Transactions on Automatic Control.

[5]  Karl Johan Åström,et al.  Guaranteed dominant pole placement with PID controllers , 2009 .

[6]  Zhen Wu,et al.  Reliably computing all characteristic roots of delay differential equations in a given right half plane using a spectral method , 2010, J. Comput. Appl. Math..

[7]  Wei Tang,et al.  PID Tuning for Dominant Poles and Phase Margin , 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

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

[9]  Richard Marquez,et al.  An extension of predictive control, PID regulators and Smith predictors to some linear delay systems , 2002 .

[10]  R. Vermiglio,et al.  TRACE-DDE: a Tool for Robust Analysis and Characteristic Equations for Delay Differential Equations , 2009 .

[11]  Sophie Tarbouriech,et al.  Control of linear systems subject to time-domain constraints with polynomial pole placement and LMIs , 2005, IEEE Transactions on Automatic Control.

[12]  Fernando de Oliveira Souza,et al.  PID Tuning under Uncertain Conditions: Robust LMI Design for Second-Order Plus Time-Delay Transfer Functions , 2013, TDS.

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

[14]  J. Aplevich,et al.  Lecture Notes in Control and Information Sciences , 1979 .

[15]  Pavel Zítek,et al.  Ultimate-frequency based dominant pole placement , 2010 .

[16]  Aidan O'Dwyer,et al.  Handbook of PI and PID controller tuning rules , 2003 .

[17]  Shyh Hong Hwang,et al.  CLOSED-LOOP TUNING METHOD BASED ON DOMINANT POLE PLACEMENT , 1995 .