1. Comprehend
Learn what makes up a control system, and how each component plays a role in achieving control.
(1.1) Fundamental Components of a Control System
Identify and describe the key components of a control system (plant, controller, sensors, actuators, and feedback loop), using real-world engineering examples to illustrate each element.
(1.2) Role and Function of Each Control System Component
Explain the function and interdependence of control system components, and analyse their collective influence on overall system behaviour, supported by real-world applications and case studies.
(1.3) Open-Loop and Closed Loop Control Systems
Differentiate between open-loop and closed-loop control systems by interpreting block diagrams and signal flow paths, and relate each configuration to relevant engineering contexts.
2. Operate
Discover how to operate a control system, from understanding system requirements to testing and validation.
(2.1) Control System Requirements
Formulate clear and measurable control system requirements based on a real-world engineering scenario, establishing the foundation for system design and validation.
(2.2) Operate a Control System using Physical Hardware or Virtual Lab
Configure and safely operate a control system using either physical hardware or a virtual lab environment, demonstrating practical competency.
(2.3) Validate Performance against Defined Requirements
Conduct structured testing (via hardware or simulation) to evaluate system behaviour and validate performance against defined requirements.
3. Refine
Discover the process of setting a control system up to achieve a set of requirements.
(3.1) Diagnose Performance Limitations in a Control System
Collect, analyse and present test data using insights to inform improvement strategies.
(3.2) Improve System Performance in-line with Specified Requirements
Refine controller parameters (tuning) and/or adjust system configuration based on test outcomes.
(3.3) Evaluate the Effectiveness of Tuning and/or Configuration Changes
Re-test and compare results against baseline performance and original requirements.
4. Engineer
Use mathematics to design control algorithms, from system requirements to testing and validation.
(4.1) Develop Mathematical Models of Dynamic Systems
Use system identification techniques, exploring both continuous-time and discrete-time representations.
(4.2) Digital Signal Processing Techniques
Filtering sensor noise, reject outliers, and enhance data quality to support robust control performance.
(4.3) Design and Tune PID Control Algorithms to Meet a Set of Requirement
Use the developed system models and filtered data, and implement the controller in hardware.
