Objectives of Programme's Learning Outcomes

• Imagine, design, carry out and operate solutions (machines, equipment, processes, systems and units) to provide a solution to a complex problem by integrating needs, constraints, context and technical, economic, societal, ethical and environmental issues.
• Identify complex problems to be solved and develop the specifications by integrating needs, contexts and technical, economic, societal, ethical and environmental issues.
• Optimally design and calculate the dimensions of machinery, equipment, processes, systems or units, based on state of the art, a study or model, addressing the problem raised; evaluate them in light of various parameters of the specifications.
• Implement a chosen solution in the form of a drawing, a schema, a diagram or a plan that complies with standards, a model, a prototype, software and/or digital model
• Evaluate the approach and results for their adaptation or optimisation of the proposed solution.
• Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out mechanical engineering missions, using their expertise and adaptability.
• Master and appropriately mobilise knowledge, models, methods and techniques specific to mechanical engineering.
• Study a machine, equipment, system, method or device by critically selecting theories and methodological approaches, and taking into account multidisciplinary aspects.

Learning Outcomes of UE

implement continuous/discrete time PID controllers; optimize PID design; compute and implement other types of controllers and/or other control structures; use root locus method for controller design; design a model-based control loop; design digital control loop using stability/accuracy/dynamic performance concepts;

Content of UE

For continuous time control: PID tuning, analysis and tuning of other controllers, design of controllers for disturbance compensation, anti wind-up compensation systems, root locus, cascade control, Smith predictor. For discrete time control: z transform, equivalent z transfer function, stability, accuracy, design of discrete time controller.

Prior Experience

Basic knowledge in continuous time control of industrial processes and, particularly, for SISO (single input single output) systems.

Type of Assessment for UE in Q1

• Written examination

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• Written examination

Q3 UE Assessment Comments

Not applicable

Q1 UE Resit Assessment Comments (BAB1)

Not applicable