Multivariable Disturbance Rejection Tracking Controllers for Systems With Slow and Fast Modes

1987 ◽  
Vol 109 (4) ◽  
pp. 363-369 ◽  
Author(s):  
Suhada Jayasuriya
Keyword(s):  
Linear Time ◽  
Design Procedure ◽  
Singularly Perturbed ◽  
Linear Time Invariant ◽  
Singular Perturbation Methods ◽  
Tracking Controllers ◽  
Asymptotic Tracking ◽  
Ill Conditioning ◽  
Linear Time Invariant Systems ◽  
Time Invariant

In this paper we consider the design of controllers for a class of singularly perturbed multi-input-multi-output linear time-invariant systems where the objective is asymptotic tracking in the presence of persisting disturbances. The controller structure consists of a precompensator and a stabilizing compensator used in conjunction with a full order observer. Singular perturbation methods are used to obtain various components of the control system so that numerical ill conditioning is avoided. The design procedure is illustrated by synthesizing a controller for a second order singularly perturbed plant.

Inverse-Dynamics Based State and Disturbance Observers for Linear Time-Invariant Systems

2002 ◽  
Vol 124 (3) ◽  
pp. 375-381 ◽  
Author(s):  
Chia-Shang Liu ◽  
Huei Peng
Keyword(s):  
Inverse Dynamics ◽  
Linear Time ◽  
Sufficient Conditions ◽  
Design Procedure ◽  
Ground Vehicle ◽  
Linear Time Invariant ◽  
Linear Time Invariant Systems ◽  
Disturbance Model ◽  
Rank Conditions ◽  
Time Invariant

An output-feedback observer is proposed in this paper to simultaneously estimate unknown states and disturbances of linear time invariant systems. The states are estimated using a Luenberger-like observer while the disturbance signals are estimated based on an inverse-dynamics motivated algorithm. The proposed schemes can be applied to a wide variety of disturbances since no disturbance model is required in the estimation. Depending on the input/output rank conditions of the plant, two different designs are proposed. The observer gains are selected based on sufficient conditions for exponentially converging estimation. The design procedure is illustrated step-by-step by using two examples: a hypothetical problem and the ground vehicle lateral speed estimation problem. A standard H∞-filter is used as the benchmark to illustrate the performance of the proposed method.

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