A theoretical examination of closed-loop properties and tuning methods of single-loop PI controllers

Abstract The dependence of the dominant closed-loop poles on the controller parameters is quantitatively elucidated by a Taylor expansion about the critical (ultimate) gain. The leading expansion coefficients are estimated from the critical (ultimate) gain and frequency and one or two closed-loop measurements of the decay ratio and frequency of system response to set-point/load changes or natural disturbances. An explicit model for the process transfer function is not required. By relating controller performance criteria to the leading poles, optimal gain settings to achieve these criteria can then be determined. In the present work, three tuning methods of increasing accuracy (the modified Ziegler-Nichols rule and Methods A and B) are constructed to satisfy a performance criterion ( D.R. = 0.25) and a stability consideration. Method A is presented in a convenient chart and is especially easy to use on line. Stability robustness as measured by the Doyle-Stein index and the estimated closed-loop frequency at the proposed setting are also presented in the same chart.

[1]  Dale E. Seborg,et al.  A new method for on‐line controller tuning , 1982 .

[2]  M. Morari,et al.  Internal model control: PID controller design , 1986 .

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

[4]  W. Luyben,et al.  Design for multiloop SISO controllers in multivariable processes , 1986 .

[5]  Liang-Heng Chen,et al.  Bifurcation characteristics of nonlinear systems under conventional pid control , 1984 .

[6]  Robert G. Rinker,et al.  Experimental investigation of controller-induced bifurcation in a fixed-bed autothermal reactor , 1985 .

[7]  S. Hwang,et al.  Process dynamic models for heterogeneous chemical reactors - an application of dynamic singularity theory , 1986 .

[8]  Edgar H. Bristol,et al.  Pattern recognition: An alternative to parameter identification in adaptive control , 1977, Autom..

[9]  M. Morari,et al.  Closed-loop properties from steady-state gain information , 1985 .

[10]  G. Stein,et al.  Multivariable feedback design: Concepts for a classical/modern synthesis , 1981 .

[11]  Hsueh-Chia Chang,et al.  Global effects of controller saturation on closed-loop dynamics , 1985 .

[12]  E. Davison,et al.  On "A method for simplifying linear dynamic systems" , 1966 .

[13]  Tore Hägglund,et al.  Automatic Tuning of Simple Regulators , 1984 .

[14]  Edgar H. Bristol Pattern Recognition as an Alternative to Parameter Identification in Adaptive Control , 1975 .

[15]  C. Desoer,et al.  Networks with very small and very large parasitics: Natural frequencies and stability , 1970 .

[16]  Pravin Varaiya,et al.  Analytic expressions for the unstable manifold at equilibrium points in dynamical systems of differential equations , 1983, The 22nd IEEE Conference on Decision and Control.