Module Catalogue 2025/26

CME8133 : Advanced Process Control

CME8133 : Advanced Process Control

  • Offered for Year: 2025/26
  • Module Leader(s): Dr Mark Willis
  • Co-Module Leader: Dr Jie Zhang
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Code Title
CME3008Process Control
Pre Requisite Comment

N/A

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

N/A

Aims

To explore the concept of robustness in control systems design; frequency response methods for control systems analysis and model based control based on the Internal Model Control strategy.
To understand the principles of digital and computer-based process control systems. To learn how to design and implement digital controllers, from simple to more advanced algorithms.

Outline Of Syllabus

Ideal control versus practicable control; Robust control concepts; the role of frequency domain analysis; Bode diagrams and Polar plots; sensitivity functions; describing model uncertainties; robustness analysis; robust performance; robust stability; performance versus robustness; Internal Model Control (IMC) design; Equivalence of IMC to PID control.
Role of computers in process control; fundamental difference between continuous time and discrete time control systems; basic mathematics of sampled data systems; discretised PI/PID controllers; design via the Synthesis Equation; pole-placement control; discrete models for controller design.

Learning Outcomes

Intended Knowledge Outcomes

Evaluate the effects of process-model mismatch on process control performance (M1).

Appreciate the utility of frequency domain techniques in robustness analysis (M2).

Appreciate the significance of the use of dynamic models in controller design and control system analysis (M3).

Appreciate why robust controller designs are important (M6).

To understand the fundamental difference between continuous time and discrete time control systems (M1, M2)

To be able to make use of z-transforms and mapping of differentials to obtain discrete time models (M1).

To be aware of the characteristics of digital control systems (such as sampling and performance) (M1, M3).

Intended Skill Outcomes

Be able to analyse linear control systems for robustness and to achieve trade-offs between performance and
robustness in linear control systems (M2).

Be able to design PI/PID controllers based on “robustness” principles (M5).

To derive the structure of the z-transform model using differential or Laplace transforms as a basis (M1, M12).

To be able to design discrete controllers using, for example, the Synthesis Equation (M1,M3,M12).

To be able to analyze and design process control systems for performance and robustness (M1, M2, M4, M6).

To gain further practice and skills in the use of MATLAB and SIMULINK (M3).

To further develop skills in reporting on simulation based studies (M17).

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion11:301:30Examination
Guided Independent StudyAssessment preparation and completion140:0040:00Assignment preparation and completion.
Scheduled Learning And Teaching ActivitiesLecture122:0024:00Lectures
Guided Independent StudyAssessment preparation and completion140:0040:00N/A
Structured Guided LearningAcademic skills activities140:0040:00Formative Quizzes and Online Materials
Scheduled Learning And Teaching ActivitiesSmall group teaching41:004:00Tutorials
Guided Independent StudyIndependent study150:3050:30N/A
Total200:00
Teaching Rationale And Relationship

Lectures convey the mathematical concepts and theory of process control, the Canvas activity modules support this through illustration and problem solving. Tutorial sheets and other formative activities are used to prepare the students for the end of semester closed book examination. The assignment develops further skills in MATLAB / Simulink, control systems design and application and reporting of simulation based studies.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination901A50N/A
Other Assessment
Description Semester When Set Percentage Comment
Report1M50approx. 2000 words.
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Computer assessment1MFormative Canvas quizzes
Assessment Rationale And Relationship

The examination assesses the following AHEP 4 learning outcomes: M1-3.

The report assessed the following AHEP 4 learning outcomes: M1-6, M12, M17.

Timetable

Past Exam Papers

General Notes

N/A

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Disclaimer

The information contained within the Module Catalogue relates to the 2025 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, staffing changes, and student feedback. Module information for the 2026/27 entry will be published here in early-April 2026. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.