TEL330 Mekatronikk

Modern product development is a multifaceted field. The mechanical design of such a product usually integrates with some control system that controls the mechanical dynamics. For e.g. a test rig to perform the tensile test is controlled by a control system which manages the rate of elongation and measures the data from the sensors. Another example can be adaptive suspensions - a camera system or an accelerometer senses the undulations and sends the data to the controller, which modifies the dynamical response of the system. This course will help you design such smart mechanical dynamical systems (mechatronics).

This course will focus on the design, analysis, and implementation of complex, intelligent systems that seamlessly integrate mechanical, electrical, and computational elements. Students will explore real-world applications of mechatronics in some of the diverse domains, such as automation, automotive systems, robotics, aerospace, and biomedical devices. The course emphasizes a hands-on, project-based approach, enabling students to develop practical skills in designing and implementing intelligent mechatronic solutions.

Upon successful completion of this course, students will be able to:

1. Capture the measurement data from variety of sensors, apply different filtering schemes and prepare the data for the control system
2. Understand and apply advanced control strategies: Demonstrate proficiency in designing and implementing advanced control algorithms, such as adaptive control, robust control, optimal control, and model predictive control, for mechatronic systems.
3. Design the dynamical mechanical systems to manipulate the mechatronic system using actuators
4. Develop sophisticated models and simulations: Create accurate dynamic models of complex mechatronic systems using advanced modeling techniques (e.g., bond graphs, Lagrangian mechanics) and perform simulations using open source software software (e.g., Modelica).
5. Integrate sensors and actuators: Select, interface, and calibrate a wide range of sensors (e.g., optical encoders, IMUs, force/torque sensors) and actuators (e.g., DC motors, stepper motors, pneumatic/hydraulic systems) for specific mechatronic applications.
6. Implement real-time embedded systems: Design and program embedded systems for real-time control and data acquisition in mechatronic applications, utilizing microcontrollers.
7. Design and analyze intelligent mechatronic systems: Synthesize knowledge from various domains to design, analyze, and optimize intelligent mechatronic systems that meet specific performance requirements, considering factors like efficiency, robustness, and safety.
8. Evaluate the impact of emerging technologies: Critically analyze and discuss the role of emerging technologies, such as artificial intelligence, machine learning, and the Internet of Things (IoT), in the future of mechatronics.