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System modelling. Continuous-time dynamics. Time domain and frequency domain analysis. Feedback control. Control system performance and robustness. Control system design techniques.
This course is an introduction to the design and analysis of control systems. A control system is a system that commands another system in a way that ensures that the overall system does what we want it to. A simple example is a thermostat controlling a heater to ensure that a room doesn't get too hot or too cold, but much more sophisticated kinds of control systems exist. A good understanding of control systems is useful in the design of electric power systems (generator excitation control, tap-changing transformers, etc.), aircraft (autopilots and flight control), rockets and spacecraft (altitude control), cars (cruise control, engine control, etc.), robots (position and speed control), and in many other application areas. To control a system so that it does what we want we first need to understand how the system responds to different command inputs. The course begins by looking at how to mathematically model different kinds of systems, and how to analyse and simplify models using tools such as the Laplace Transform. We then introduce feedback control systems, which are systems in which the controller continually checks that the controlled system is doing what it is supposed to do and modifies its commands to ensure the desired result occurs, making the controller robust to uncertainties in the system model and disturbances in the environment. We look at several different techniques for understanding and improving the stability and performance of feedback controllers, as well as common types of controller designs such as the classic PID controller. Practical work includes a project designing and implementing a PD roll controller for a rocket in a small Vertical Wind Tunnel.
At the conclusion of this course you should be able to:LO1: Use mathematical methods to describe and analyse single input, single output (SISO) and complex control systems (WA1, WA2)LO2: Assess the stability and steady state performance of control systems (WA1, WA2)LO3: Interpret and solve continuous time systems using classical control methods (WA2, WA4)LO4: Apply and reflect on modern computer design tools and experimental techniques to design, simulate, and verify the performance of real-world control and emerging systems in a team environment (WA2, WA4, WA5, WA8, WA11)LO5: Communicate the design of control systems, including using PID schematics (WA9)
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Globally aware
Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.
ENEL220, EMTH210
ENME303
Students must attend one activity from each section.
Christopher Hann
Chris Hann; ENEL321 Course Notes ; (On the ENEL321 LEARN Page).
Franklin, Gene F. , Powell, J. David, Emami-Naeini, Abbas; Feedback control of dynamic systems ; Seventh edition; Pearson, 2015 (Earlier editions are also acceptable).
Palm; Modeling Analysis and Control of Dynamic Systems ; 2nd; Wiley, 2001.
Stefani, Savant, Shahian, Hestetter et al; Design of Feedback Control Systems ; 3rd; Saunders College Publishing/Harcourt Brace, 1996.
Scaling of marksIn order to maintain consistency across courses and fairness for students, scaling of raw marks occurs. In the Faculty of Engineering, target course GPAs are calculated based on the performance of the cohort of students in their courses in the previous year. Scaling of the raw total course marks is normally performed so that when converted to grades (using UC Grade Scale) the outgoing GPA is in line with the target GPA for a course. Scaling up or down can occur.The Grading Scale for the University: https://www.canterbury.ac.nz/study/study-support-info/study-related-topics/grading-scaleArtificial Intelligence ToolsThe use of Artificial Intelligence (AI) tools for each of the assessments in ENEL321 is summarised below. No AI use is allowed in the tests and exam because these are closed-book invigilated assessments. Students are always responsible for the accuracy of the submitted works, regardless of which tools are used.Assessment Item and Permitted use of AI: Laboratory Report: Generative AI Tools Are Permitted for Certain Parts of This Assessment Tests: Generative AI tools cannot be used for this assessment. Exam: Generative AI tools cannot be used for this assessment. Generative AI Tools Are Permitted for Certain Parts of This Assessment:In this assessment (Lab Report), you are permitted to use generative artificial intelligence (AI) for the purpose of proof reading and editing the document, and for gathering and summarising knowledge. No other use of generative AI is permitted. To assist with maintaining academic integrity, you must appropriately acknowledge any use of generative AI in your work. Please include a Statement of AI use (if no AI tool has been used, then this must also be stated) and a listing of all prompts provided to the AI tool, clearly indicating which AI tools were used and how they contributed to your assessment.
Lateness PenaltiesFor the Lab Report and Assignment, a lateness penalty of 10% (in absolute terms) per day or part day late will be deducted from the original mark, unless a valid reason is given. For example, an assignment with a nominal mark of 83% submitted 0-24 hours late will receive a mark of 73%, and submitted 24-48 hours late will receive 63%.
Contact HoursLectures: 36 hoursTutorials: 12 hoursWorkshops: 0 hoursLaboratories: 12 hours Independent studyReview of lectures: 36 hoursTest and exam preparation: 30 hoursAssignments: 12 hoursTutorial preparation: 12 hours Laboratory calculations: 0 hours Total 150
Domestic fee $1,190.00
International fee $6,488.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Electrical and Computer Engineering .