| Instructor(s) | Dr. Meranda Salem [Coordinator] Office: TBD Phone: TBA Email: meranda.salem@torontomu.ca Office Hours: Monday 10am - 11am virtual | ||||||||||||
| Calendar Description | This course deals with the theory on the design of digital control systems and their implementation. Major topics include: State-space system model. Discrete-time signals and systems; z-transform. Sampling: the ideal sampler, data reconstruction, quantization effects. Discrete equivalents to continuous-time transfer functions. Stability analysis: Jury's stability test; root locus; Nyquist stability criterion. Design of digital control systems: transform techniques; stat-space techniques. Hardware and software aspects in implementation. Laboratory work will include experiments on PID controller, and sate feedback controller design of an electro-mechanical system. | ||||||||||||
| Prerequisites | ELE 639 | ||||||||||||
| Antirequisites | None | ||||||||||||
| Corerequisites | None | ||||||||||||
| Compulsory Text(s): |
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| Reference Text(s): |
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| Learning Objectives (Indicators) | At the end of this course, the successful student will be able to:
NOTE:Numbers in parentheses refer to the graduate attributes required by the Canadian Engineering Accreditation Board (CEAB). | ||||||||||||
| Course Organization | 3.0 hours of lecture per week for 13 weeks | ||||||||||||
| Teaching Assistants | Ahmed Tabl Sanjit Priyank Pakalapati | ||||||||||||
| Course Evaluation |
Note: In order for a student to pass a course, a minimum overall course mark of 50% must be obtained. In addition, for courses that have both "Theory and Laboratory" components, the student must pass the Laboratory and Theory portions separately by achieving a minimum of 50% in the combined Laboratory components and 50% in the combined Theory components. Please refer to the "Course Evaluation" section above for details on the Theory and Laboratory components (if applicable). | ||||||||||||
| Examinations | Mid-Term exam will be announced on D2L. Final exam will be held during Final Exam week for the fall term. Both Mid-term and Final Exam are closed books. A formula/cheat sheet is allowed during the mid-term and final exams. Instructions for this will be announced on D2L (https://courses.torontomu.ca/) and in class. | ||||||||||||
| Other Evaluation Information | Information about Prelab and Lab reports requirements and submissions is provided in the Lab manual. Check the lab/tutorial schedule for submission due dates. Late submissions will incur a penalty. Lab/tutorial attendance is mandatory. Each student must attend the lab/tutorial session on the day and at the time specified for their section. | ||||||||||||
| Teaching Methods |
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| Other Information | Announcements, including exam/Mid-term information, will be announced in class and posted to the course shell on D2L (https://courses.torontomu.ca). Email policy: In accordance with the Policy on TMU Student E-mail Accounts (Policy 157), the university requires that any electronic communication by students to TMU faculty or staff be sent from their official university email account. Use of GenAI: Students may use Generative AI (e.g. ChatGPT, Grammarly, Perplexity) only for minor grammar correction. This includes translating individual words and correcting spelling, punctuation and basic grammar issues. Failure to stay within these limits will be considered a breach of Policy 60. | ||||||||||||
Week | Hours | Chapters / | Topic, description |
|---|---|---|---|
1 | 1 | Ch. 1 | Introduction: |
1-2 | 3 | Ch. 2, 3 | Mathematical Models for Discrete-Time Systems: |
2-3 | 3 | Ch. 2, 3, 12.2 | Sampling and Reconstruction of Continuous-Time Signals: |
3-4 | 4 | Ch. 3, 4 | Analysis of Discrete-Time Signals and Systems: |
4-5 | 4 | Ch. 6, 5.5, 12.4 | Control Design using Transform Techniques: |
6 | [Mid-term Exam in Week 6] | ||
7-10 | 10 | Ch. 7, 8 | State-Space System Models: |
10-12 | 8 | Ch. 9 | State-Space based Design: |
13 | 3 | Ch. 10.4, 12.1 | Other topics in digital control: |
14 | 3 | Review | Final Exam Review and Preparation |
Week | L/T/A | Description |
|---|---|---|
1 | n/a | no lab/tutorial |
2 | T | Tutorial 1 |
3 | L | Experiment 1: Proportional Control |
4 | T | Tutorial 2 |
5 | T | Tutorial 3 |
6 | n/a | no lab/tutorial (Mid-term Exam in Week 6) |
7 | L | Experiment 2: Digital PID Control Design |
8 | L | Experiment 2 (continued) |
9 | L | Experiment 2 (continued) |
10 | T | Tutorial 4 |
11 | L | Experiment 3: State Feedback Position Control and Observer Design |
12 | L | Experiment 3 (continued) |
13 | L | Experiment 3 (continued) |
14 | T | Tutorial 5 |
Students are reminded that they are required to adhere to all relevant university policies found in their online course shell in D2L and/or on the Senate website
Refer to the Departmental FAQ page for furhter information on common questions.
The University Libraries provide research workshops and individual consultation appointments. There is a drop-in Research Help desk on the second floor of the library, and students can use the Library's virtual research help service to speak with a librarian, or book an appointment to meet in person or online.
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If you have (or suspect you may have) a disability, AAS can provide consultation, guide you through registration, develop accommodation plans where appropriate, and connect you with supports and services. For information about eligibility, documentation requirements, registration, deadlines, and available services, visit AAS.
Academic Accommodations (for students with disabilities) and Academic Consideration (for short-term extenuating circumstances) are governed by different university policies. Learn more about each process and how to access support. Students registered with AAS may request academic consideration (related or unrelated to their disability) if they experience extenuating circumstances that impact their ability to meet their shorter term academic obligations. This includes short term physical or mental health issues that are sudden/acute (e.g, the flu), unexpected illness or injury, hospitalization or treatment, and significant aggravation of a pre-existing condition. Please see Policy 167: Academic Consideration for more information and details.
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