Course overview
This course will provide an introduction to mechatronics, and develop skills in mechatronic design, including modeling, instrumenting, simulating, implementing and testing electromechanical systems. Topics include: Introduction to mechatronics, model-based design principles and practice. Mathematical modeling of electromechanical systems (including sensors and actuators) in time domain and frequency domain. Analytical derivation of a symbolic model based on electromagnetics and mechanics. Empirical derivation of a numeric model based on system identification. Instrumentation, data acquisition, and signal conditioning, including sampling, amplification, filtering, and analog-to-digital conversion. Computer-based modeling and simulation of electromechanical systems using industry-standard tools. Case studies on some common sensors and actuators in terms of physical principles and operational characteristics. Integration of control, sensing and actuation in simulation and hardware implementation. Latest trends in mechatronics.
Course learning outcomes
- Derive a mathematical model for a simple electromechanical system analytically (using physics) or empirically (using system identification). (PLO 1, 4, 5) (EA 1.1-1.3, 2.1-2.3)
- Select and use sensors and actuators based on a clear understanding of their physical principles and operational characteristics. (PLO 1, 4, 5) (EA 1.1-1.3, 2.1-2.3)
- Apply instrumentation and data acquisition techniques to obtain measurements of an electromechanical system. (PLO 4, 5) (EA 2.1-2.3)
- Apply an electromechanical system model to the simulation and controller design stages of the mechatronic design process. (PLO 4, 5) (EA 2.1-2.3)
- Validate a system model using a hardware implementation. (PLO 4, 5) (EA 2.1-2.3)
- Apply research methodology to analyse and discuss a contemporary mechatronics topic. (PLO 1-3, 6-8) (EA 1.1-1.4, 3.1-3.2, 3.4-3.6)