MODULE DESCRIPTION FORM
CONTROL SYSTEMS DESIGN
Module Registrar: Prof Matthew Cartmell [email protected]
Taught To (Course): Cohorts for whom class is optional
Other Lecturers Involved: Dr Christie Maddock
Credit Weighting: 10 (ECTS 5) Optional class
Assumed Prerequisites: 16361 Dynamics & Control
Semester: 1 Academic Level: 5
Suitable for Exchange: Y
Module Format and Delivery (HOURS i.e. 1 credit = 10hrs of study): Lecture
Educational Aim This module covers techniques for the design of control laws for engineering systems. The material builds on the fundamentals learned previously on the systems modelling and analysis of open and closed loop control for engineering systems. This module emphases developing computer models for the simulation and analysis of linear control systems and the design of associated control laws. Advanced concepts such as non-linear systems and optimal control theory are introduced. The education aims of the module are to: Examine advanced techniques for system identification and analysis of time-invariant and continuous-time linear systems Introduce nonlinear systems and the complexity in system design and analysis Implement methods for determining the stability of a linear system and introduce methods for examining the stability of non-linear systems Gain practice in developing computer models for linear systems and determining appropriate control techniques
Learning Outcomes On completion of the module the student is expected to be able to: LO1 Determine discrete and continuous-time based mathematical models for the dynamics and control of an engineering system LO2 Analyse the stability of a system LO3 Develop a control law for a linear system LO4 Understand the advantages and disadvantages to various controllers and their impact on the system performance
Syllabus The module will teach the following:
Discrete and continuous models; Laplace transforms; z transforms Lyapunov stability; Routh theorem; root locus method; Nyquist stability analysis Bode plots; pole placement via state feedback and dynamic output feedback Controllability and observability; observer design PID controllers Simulation and analysis using Matlab/Simulink including developing control laws Introduction to optimal control theory (optional) Lag, lead and lag-lead compensation (optional)
Assessment of Learning Outcomes Criteria For each of the Module Learning Outcomes the following criteria will be used to make judgements on student learning: LO1 – students should be able to: C1 Convert functions between the time domain and frequency domain using Laplace and z-transforms C2 Develop a mathematical model for a discrete or sampled system and determine, analytically and numerically, the output function LO2 – students should be able to: C1 Determine if a system is Lyapunov stable, asymptotically stable, exponentially stable, or unstable C2 Analyse the stability of a system employing the: a) Routh theorem, b) a root locus plot, c) Nyquist stability criterion LO3 – students should be able to: C1 Design and tune a P/PI/PD/PID control for an engineering system C2 Design a control law using pole placement method LO4 – students should be able to: C1 Understand the advantages and disadvantages of using different methods to develop a control law for a closed loop feedback system C2 Apply the different controllers to a modelled engineering system in order to achieve a set of predefined goals for performance of the system
The standards set for each criterion per Module Learning Outcome to achieve a pass grade are indicated on the assessment sheet for all assessment.
Principles of Assessment and Feedback Non-marked tutorial exercises provide an informal first opportunity for students to implement methods and techniques learned through the lectures, and give a chance to receive immediate feedback through personal contact with the tutors and class instructor, as well as peer assessment and peer learning. Worked solutions are presented to the class encouraging self-assessment and to promote discussion. The group project encourages peer learning, peer assessment and problem-solving skills. Additional facilitation and interim feedback is provided through the weekly laboratories. Marks and, if appropriate, any individual feedback are communicated using MyPlace with a general post-submission discussion on the assessment provided during the lecture and tutorial. There is also a self and peer assessment mark as part of the assessment of the group project. Solutions from each group are presented during a short 5-min presentation to the class. An exam is used to assess the students understanding of the theory and analytical problem solving skills developed during the course. Assessments are returned through the final course mark.
Assessment Method(s) Including Percentage Breakdown and Duration of Exams Examinations Number L/Outcomes
Indicate which learning outcomes (L01, L02 etc) are to be assessed by exam/coursework/project as required.
Coursework / Submissions deadlines: Group project deadline: Week 9 Group project presentations: Week 10 Resit Assessment Procedures: 2hr examination in August diet PLEASE NOTE: Students need to gain a summative mark of 50% to pass the module. Students who fail the module at the first attempt will be re-examined during the August diet. This re-examination will consist entirely of an exam. No marks from previous attempts will be transferred to new attempts.
Recommended Reading ****Purchase essential ***Purchase recommended *Simply for reference (do NOT purchase)
**Highly recommended reading
*** Modern Control Systems: International Edition, 12th edition (2010), R Bishop and R Dorf, Pearson. ISBN-10: 0131383108, ISBN-13: 978-0131383104. *** Small Unmanned Aircraft: Theory and Practice, R Beard and T McLain, Princeton University Press, 2012. ISBN: 9780691149219 ** Feedback Control of Dynamic Systems, 7th edition (2014), G Franklin, J Powell and A Emani-Naeini. ISBN-10: 0135001501, ISBN-13: 978-0135001509. * Control systems engineering, 6th International edition (2011), N Nise, John Wiley & Sons Publishing. ISBN-10: 0470646128, ISBN-13: 978-0470646120
Additional Student Feedback (Please specify details of when additional feedback will be provided)
Session: 2017/18 Approved: Course Director Signature: Dr William D. Nicholls Date of Last Modifications: 28 August 2017
Room No Check timetable webpages for details
Control Systems Design
Brief Description of Assessment: The course is assessed through a group project and a final exam. The project is completed in pairs (or individually) and requires the students to implement different methods and design approaches to find a solution to a practical problem using mathematical and simulation software programs.
Assessment Timing: Indicate on the table below the start/submission dates for each assignment/project and the timing of each exam/assessment(s).
WK3 Group project start
WK9 Group project report due
Group project presentations
Project marks returned
Exam Period 2hr exam