Review of control types for ball and plate systems
Keywords:
ball and plate, control systems, control techniques, non-linear, multivariable.Abstract
In this article, a review of the different types of control for the positioning of ball and plate systems (B&P) was carried out. It began by analyzing the basic structure that a B&P system must have, its properties and problems that arise for route tracking control; it is subdivided into two: the ball position control and the plate angle control. Subsequently, the basic general algorithms were reviewed; For mathematical modeling, the most widely used are the Euler-Lagrange equations, Lyapunov's theory of stability and Routh's stability criteria. For control, the most common are double feedback loops using the most common control techniques: slider mode control (SMC), proportional-integral-derivative controller (PID) and fuzzy logic controllers (FLC). In some articles these drivers are not only used alone; but also in combination with other techniques such as artificial intelligence, neural networks, artificial vision, among others. Finally, a table is shown in which the performance of the algorithm of each revised control is observed.
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