Salvatore Di Natale
Model-based design of a fuzzy logic controller for an inverse pendulum.
Rel. Luigi Mazza, Marco Pontin. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2019
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Abstract
The main idea of this work is to design and realize a fuzzy controller to stabilize an inverse pendulum pneumatically actuated. This system is widely used and studied in academic and industrial applications. The fuzzy logic introduces a new design method in this classical system. The system needs a double control, the position of the cart and the angle of the pendulum. This problem has been resolved by using two nested feedback control loop. All the design has been done using the model-based approach. The challenge of this work is to use a very low-cost controller, an Arduino board, to stabilize an inverted pendulum mechanically connected to a pneumatic actuator, so also the system is a low-cost application.
The movement of the pneumatic actuator is controlled by four 2/2 digital pneumatic valves that are controlled by the Arduino board using the PWM technique.The Arduino board is programmed using the fuzzy logic and the control action is able to stabilize the cart in a given position
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