On the plant augmentation by integrators in the discrete-time LQG/LTR control
- 1 October 2014
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1152-1157
Abstract
This paper presents a study on the peculiarities of the plant augmentation by integrators in the discrete-time LQG/LTR control. In the LQG/LTR methodology, the inclusion of “free” integrators in each control channel of the plant helps the designer to define a Target Feedback Loop with good performance characteristics in the mixed-sensitivity analysis. However, due to specific conditions of the discrete-time case, the integration method used in the plant augmentation can make the application of the LTR principle unfeasible. In this context, an analysis of the feasibility of the augmentation of the plant by forward Euler and backward Euler integrators is presented. Also, a new Target Feedback Loop parametrization is presented that allows the bound on the sensitivity function of the control loop to be associated with the behavior of the inverse of an integrator, ensuring good properties of disturbance rejection and tracking of reference signals.Keywords
This publication has 8 references indexed in Scilit:
- A Study on LQG/LTR Control for Damping Inter-Area Oscillations in Power SystemsIEEE Transactions on Control Systems Technology, 2006
- Obtaining uniform singular values of augmented systems using LQG/LTR2005
- Improved temperature control of a PWR nuclear reactor using an LQG/LTR based controllerIEEE Transactions on Nuclear Science, 2003
- Discrete-time LQG/LTR dual-stage controller design in magnetic disk drivesIEEE Transactions on Magnetics, 2001
- Asymptotic recovery for discrete-time systemsIEEE Transactions on Automatic Control, 1985
- Multivariable feedback design: Concepts for a classical/modern synthesisIEEE Transactions on Automatic Control, 1981
- Return-difference-matrix properties for optimal stationary discrete Kalman filterProceedings of the Institution of Electrical Engineers, 1971
- Optimal low-sensitivity linear feedback systemsAutomatica, 1969