Control Systems is all about plant and processes (systems) how they behave when subjected to certain inputs (system response) and how to get them to do what we want (system control). Control Systems 301 introduces the student to the characteristics of systems commonly encountered in mechatronics.

1. Use Laplace transform techniques to predict and interpret second order system response to step and ramp inputs.
2. Find the steady-state response of a system to a sinusoidal input by the substitution of j for s in the transfer function.
3. Use Laplace transform techniques to find the transient and steady-state response of a system to a sinusoidal input.
4. Use block diagram algebra, especially Mason’s theorem, to reduce elementary control system diagrams to canonical form.
5. Establish system stability or instability by the plotting of poles and zeros on the complex plane
6. Implement and tune control systems using aPID control strategy.

The subject aims to give the student the skills to design and build Supervisory Control And Data Acquisition (SCADA) and distributed control systems software using graphical programming techniques

1. Acquire the necessary skills to produce visual models of real world events
2. Demonstrate a proficiency in the design and development of a HMI
3. Broaden a knowledge of the theory behind and techniques employed in program design
4. Use visual programming techniques (i.e. Labview) to interface with industrial hardware
5. Understand the function and application of networkingprotocols

6. Understand the deployment of SCADA software for the development of increasingly complex tasks.
7. Be able to implement remote telemetry over a Client/Server architecture.
8. Understand OPC Server and Client communication.

Professional Development and Employability is an impending graduate skills module that offers a variety of professional skills to support the development of the graduate's early career.

1. Undertake a critical audit of their skills and capabilities for their professional career

2. Employ the correct communication approach (presentation, poster, report) and use reference material correctly.

3. Demonstrate professional ethics in engineering, including the role of an engineer in society, environmental and health, safety & risk issues.

4. Interpret the roles of teams and leadership.

5. Prepare a personal development plan and work preparation plan (including CV, Cover letter).

This module consists of topics from Integral and Differential Calculus, Linear Algebra and Complex Numbers. These topics include differential equations and applications, Laplace Transforms, De Moivre's Theorem, Fourier Transforms, Gaussian Elimination and z-transforms.

1. Solve first order differential equations using separable variables technique and the integrating factor method
2. Solve first and second order differential equations using Laplace transforms
3. Solve second order differential equations using the complementary function and particular integral methods.
4. Calculate powers of complex numbers using theorems of DeMoivre and Euler.
5. Solve linear systems using Gaussian Elimination and apply this to engineering problems

6. Be able to obtain the z-Transform of some standard functions and solve first order difference equations.
7. Evaluate eigenvalues and eigenvetors and solve matrix transformation problems

Control Systems is all about plant and processes (systems) how they behave when subjected to certain inputs (system response) and how to get them to do what we want (system control). Control Systems 302 introduces the student to analog and digital strategies for controlling these systems

1. Carry out practicals using analog control techniques on mechanical and fluid equipment.

2. Derive the difference equations for numerical integrators and differentiators.
3. Test for discrete system stability by location of the z-plane poles.
4. Design digital controllers using cancellation pole placement, one-step-ahead and Kalmanand Diophantine pole placement strategies.

5. Implement simple machine learning strategies in linear regression, logistic regression and neural networks using Matlab/Octave software.

6. Use software (e.g. LabView, Simulink) to tune PID controllers.

This module deals with various automation technologies ranging from:

Advanced PLC Programming

Scripting to interface with PLC

Embedding C# or other languages into PLC applications

Safety BUS PILZ stop buttons

Apply these technologies to routine industry scenarios

1. Apply advanced PLC programming

2. EmbedC# or other languages into PLC applications

3. Apply scripting to interface with PLC

4. Implement machinery safety using Pilz SafetyBUS p standard

5. Apply the above technologies to routine real-life industry scenario