A data driven approach to constrained control

Barry, T 2004, A data driven approach to constrained control, Masters by Research, Electrical and Computer Engineering, RMIT University.


Document type: Thesis
Collection: Theses

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Title A data driven approach to constrained control
Author(s) Barry, T
Year 2004
Abstract This thesis presents a data-driven approach to constrained control in the form of a subspace-based state-space system identification algorithm integrated into a model predictive controller. Generally this approach has been termed model-free predictive control in the literature.

Previous research into this area focused on the system identification aspects resulting in an omission of many of the features that would make such a control strategy attractive to industry. These features include constraint handling, zero-offset setpoint tracking and non-stationary disturbance rejection.

The link between non-stationary disturbance rejection in subspace-based state-space system identification and integral action in state-space based model predictive control was shown.

Parameterization with Laguerre orthonormal functions was proposed for the reduction in computational load of the controller.

Simulation studies were performed using three real-world systems demonstrating: identification capabilities in the presence of white noise and non-stationary disturbances; unconstrained and constrained control; and the benefits and costs of parameterization with Laguerre polynomials.
Degree Masters by Research
Institution RMIT University
School, Department or Centre Electrical and Computer Engineering
Keyword(s) Constrained control
Model-free predictive control
System identification
Parameterization
Laguerre orthonormal function
Laguerre polynomials
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Created: Thu, 17 Feb 2011, 15:04:00 EST
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