Offset-free reference tracking with model predictive control

The standard way to achieve offset-free tracking in MPC is to add the disturbance dynamics to the prediction model and then use an observer to estimate the real disturbance. Existing algorithms only consider piecewise constant signals, while in practice it is often desirable to have a wider choice of reference and disturbance dynamics, such as sinusoids and ramps. This work provides a generalization of the disturbance estimation approach to arbitrary unstable dynamics. Zero offset is achieved under the assumption that the disturbance and reference dynamics are appropriately included in the prediction model and feasibility of the commanded reference is given.

[1]  Manfred Morari,et al.  Linear offset-free Model Predictive Control , 2009, Autom..

[2]  Bruce A. Francis,et al.  The internal model principle of control theory , 1976, Autom..

[3]  Alberto Bemporad,et al.  Combined Design of Disturbance Model and Observer for Offset-Free Model Predictive Control , 2007, IEEE Transactions on Automatic Control.

[4]  Gabriele Pannocchia,et al.  Disturbance models for offset‐free model‐predictive control , 2003 .

[5]  J. Pearson,et al.  Robust solutions to linear multivariable control problems , 1974 .

[6]  E. Davison The robust control of a servomechanism problem for linear time-invariant multivariable systems , 1976 .

[7]  Manfred Morari,et al.  Offset-free reference tracking for predictive controllers , 2007, 2007 46th IEEE Conference on Decision and Control.

[8]  W. Wonham Tracking and Regulation in Linear Multivariable Systems , 1973 .

[9]  Kenneth R. Muske,et al.  Disturbance modeling for offset-free linear model predictive control , 2002 .

[10]  W. Wonham,et al.  Regulation and Internal Stabilization in Linear Multivariable Systems , 1974 .

[11]  W. Wonham,et al.  Synthesis of multivariable regulators: The internal model principle , 1974 .

[12]  Gabriele Pannocchia,et al.  Robust Disturbance Modeling for Model Predictive Control with Application to Multivariable Ill-conditioned Processes , 2003 .

[13]  E. Davison The output control of linear time-invariant multivariable systems with unmeasurable arbitrary disturbances , 1972 .

[14]  C. Johnson Further study of the linear regulator with disturbances--The case of vector disturbances satisfying a linear differential equation , 1970 .

[15]  Eric C. Kerrigan,et al.  Offset-free control of constrained linear discrete-time systems subject to persistent unmeasured disturbances , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[16]  E. Davison,et al.  Pole assignment in linear time-invariant multivariable systems with constant disturbances , 1971 .

[17]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[18]  Manfred Morari,et al.  Nonlinear offset-free model predictive control , 2012, Autom..