DocumentCode
646225
Title
A Lego Mindstorms NXT experiment for Model Predictive Control education
Author
Canale, M. ; Brunet, Simone Casale
Author_Institution
Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
fYear
2013
fDate
17-19 July 2013
Firstpage
2549
Lastpage
2554
Abstract
This paper presents an educational framework based on the Lego Mindstorms NXT robotic platform used to outline both the theoretical and practical aspects of the Model Predictive Control theory. The case of a two-wheeled inverted pendulum is considered as at-size scenario. For such a system, starting from its mathematical modeling, an established design methodology is presented aiming to outline step-by-step the predictive controller implementation on a low-power architecture. The effectiveness of this multidisciplinary approach is illustrated along this presentation and demonstrated with experimental results.
Keywords
control engineering education; control system synthesis; nonlinear control systems; pendulums; predictive control; robots; Lego Mindstorms NXT experiment; Lego Mindstorms NXT robotic platform; design methodology; educational framework; low-power architecture; model predictive control education; two-wheeled inverted pendulum; Approximation methods; DC motors; Mathematical model; Optimization; Pulse width modulation; Tactile sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2013 European
Conference_Location
Zurich
Type
conf
Filename
6669633
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