<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>The paper is focused on a design of a self-tuning predictive model control (STMPC) algorithm and its application to a control of a laboratory servo motor. The model predictive control algorithm considers constraints of a manipulated variable. An ARX model is used in the identification part of the self-tuning controller and its parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method and the optimization was realized by minimization of a quadratic and absolute values objective functions. A recursive control algorithm was designed for computation of individual predictions by incorporating a receding horizon principle. Proposed predictive controllers were verified by a real-time control of highly nonlinear laboratory model — Amira DR300.</p></abstract>

The paper is focused on a design of a self-tuning predictive model control (STMPC) algorithm and its application to a control of a laboratory servo motor. The model predictive control algorithm considers constraints of a manipulated variable. An ARX model is used in the identification part of the self-tuning controller and its parameters are recursively estimated using the recursive least squares method with the directional forgetting. The control algorithm is based on the Generalised Predictive Control (GPC) method and the optimization was realized by minimization of a quadratic and absolute values objective functions. A recursive control algorithm was designed for computation of individual predictions by incorporating a receding horizon principle. Proposed predictive controllers were verified by a real-time control of highly nonlinear laboratory model — Amira DR300.

Self-Tuning Predictive Control of Nonlinear Servo-Motor

Department of Process Control, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 760 05 Zlín 5, Czech Republic

Journal of Electrical Engineering

{"article-title":"Self-Tuning Predictive Control of Nonlinear Servo-Motor"}

The paper is focused on a design of a self-tuning predictive model control (STMPC) algorithm and its application to a control of a laboratory servo motor. The...

Self-Tuning Predictive Control of Nonlinear Servo-Motor

Online veröffentlicht: 07. Juni 2011

Seitenbereich: 365 - 372

DOI: https://doi.org/10.2478/v10187-010-0056-x

Schlüsselwörter
non-linear system, servo-system, CARIMA model, self-tuning control, predictive control, real-time control

This content is open access.

Self-Tuning Predictive Control of Nonlinear Servo-Motor

Online veröffentlicht: 07. Juni 2011

Seitenbereich: 365 - 372

DOI: https://doi.org/10.2478/v10187-010-0056-x

Schlüsselwörternon-linear system, servo-system, CARIMA model, self-tuning control, predictive control, real-time control

This content is open access.

Schlüsselwörter
non-linear system, servo-system, CARIMA model, self-tuning control, predictive control, real-time control