To understand the fundamental aspects of the design and implementation of mechatronics systems and their inter-dependences. To be able to apply the control theory knowledge acquired in previous courses to design and implement mechatronics systems.
Integrated electromechanical systems.
Fundamental equations of the dynamics of mechanical systems with mobile bodies.
Machines and mechanical transmission.
Electric actuators and electronic circuits for control.
Discrete and continuous solenoids.
DC motors, stepper motors, brushless DC motors.
Linear and rotating piezoelectric motors:
Micro-electromechanical actuators (MEMS): silicon micro-relays, micro-valves, micro-pumps, and micro-motors.
Design examples of mechatronical systems: modeling, control and diagnosis.
Electronics II, Instrumentation and Measurements, Digital Control
Generic skills to reach
. Competence in analysis and synthesis; . Computer Skills for the scope of the study; . Competence to solve problems; . Competence for working in group; . Competence in applying theoretical knowledge in practice; . Competence in working in interdisciplinary teams; . Competence in autonomous learning; . Adaptability to new situations; . Creativity; (by decreasing order of importance)
R. Isermann, Mechatronic Systems: Fundamentals, Springer; 2005.
W. Bolton, Mechatronics: Electronic Control Systems in Mechanical and Electrical Engineering (3rd Edition), Prentice Hall; 2004.
Godfrey C. Onwubolu, Mechatronics: Principles and Applications, Butterworth-Heineman, 2005.
The teaching methodologies include theoretical classes using both the blackboard and the projection of slides as well as practical classes. The practical classes include several small practical lab experiments as well as a project.
Placas de desenvolvimento baseadas em microcontroladores. Componentes electrónicos para interface com sensores e actuadores electromecânicos. Diversos tipos de motores eléctricos. Computadores pessoais e software de desenvolvimento de aplicações para microcontroladores. Ferramentas de modelação e simulação de sistemas dinâmicos (e.g., Matlab)