Applied Mechatronic Systems

Module overview

This module introduces students to how mechatronic systems behave and how they can be controlled, using practical examples that gradually increase in complexity. You will begin by studying simple mechanical systems driven by electric motors and hydraulic actuators, learning how to describe their motion and understand their dynamic behaviour. Building on this foundation, the module explores systems with more complex motion, multiple interacting parts, and nonlinear effects. Throughout the module, you will gain hands on experience using simulation tools and laboratory equipment to model systems, test control ideas, and see how theory links to real hardware. By the end, you will have developed practical skills in analysing and controlling mechatronic systems relevant to modern robotics and automation.

Aims and Objectives

Learning Outcomes

Partial CEng Programme Level Learning Outcomes

Having successfully completed this module you will be able to:

Select and apply computational tools (e.g., choose between formulations within MATLAB/Simulink) for modelling and simulation of actuator-plant systems and control strategies.
Use a risk management process to identify, evaluate, and mitigate risks during the design and deployment of control strategies on experimental rigs.
Design and implement control strategies for real-world systems (e.g., active suspension, motor motion control) considering performance and safety requirements.
Communicate effectively on complex engineering matters through coursework and exams, including interpretation of simulation and experimental results.
Formulate and analyse plant-actuator systems, including multi-DOF and nonlinear configurations (e.g., inverted pendulum), applying principles to assess stability and controllability.
Function effectively as an individual and as a member of a team during collaborative design tasks in computer sessions and experimental classes.
Apply an integrated systems approach by combining actuator dynamics with mechanical systems and control algorithms for design and implementation.
Apply mathematics and engineering principles to complex systems through modelling of dynamical systems using classical and state-space representation, stability analysis, and control design.

Learning and Teaching

Teaching and learning methods

Teaching methods include: Lectures to introduce key concepts, theoretical foundations, and mathematical formulations related to actuators, dynamic systems, and control principles. Tutorials to reinforce understanding through guided problem-solving and discussion of representative applications. Computer-based sessions to develop practical skills in modelling, simulation, and implementation of control strategies using appropriate software tools. Laboratory or practical activities (where applicable) to validate theoretical concepts and apply control techniques on physical or simulated platforms.

Study time
Type	Hours
Practical classes and workshops	12
Lecture	12
Tutorial	12
Independent Study	114
Total study time	150

Assessment

Assessment strategy

Assessment methods include: Examination to assess understanding of theoretical principles and analytical skills. Coursework portfolio comprising modelling and simulation to evaluate practical application and problem-solving ability.

Summative

This is how we’ll formally assess what you have learned in this module.

Breakdown
Method	Percentage contribution
Final Assessment	70%
Coursework portfolio	30%