EE407 PROCESS CONTROL
| Course Code: | 5670407 |
| METU Credit (Theoretical-Laboratory hours/week): | 4 (3.00 - 2.00) |
| ECTS Credit: | 7.0 |
| Department: | Electrical and Electronics Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Prof.Dr. AFŞAR SARANLI |
| Offered Semester: | Fall Semesters. |
Course Objectives
The main goal of the course is to understand, model and control industrial processes. Within this context the course aims to equip the students with tools and techniques for the mathematical modeling of processes from different areas such as mechanical, electrical, thermal, fluidic, biomedical. The students are also equipped with knowledge related to the design of PID controllers through various analysis and design methodologies. Within this context, students aim to acquire the necessary knowledge for the analysis and modeling of pure time-delay, distributed parameter systems and different controller architectures such as cascade, disturbance feedforward, feedforward-feedback and Internal Model Control. The laboratory work of the course aims to give the student practical experience with physical instances of such systems as well as the ability to conduct experiments and measure performance variables.
Course Content
Example modeling of liquid, economic, biological, chemical processes. Distributed parameter systems and their lumped parameter approximations. Models and effects of actuators and measurement devices. Control modes and architectures: on-off, proportional, integral, derivative (PID) control modes. PID design methods: direct design, Intemal Model Control (IMC) based design, Zygler-Nichols closed-loop design. Control loop architectures: single loop, cascade, disturbance feedforward, feedforward-feedback, and IMC. Pure time-delay in the control loop: modeling, stability effects and compensation methods.
Course Learning Outcomes
The students should be able to:
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Build mathematical models mechanical, electrical, thermal, fluidic and other processes.
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Select suitable modes of control like On-off, P, PI, PD, PID controllers and design such controllers using a number of methods
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Build mathematical models of distributed-parameter systems, determine and use lumped parameter approximations for such systems.
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Build mathematical models of a number of actuators and measurement devices. Understand practical constraints.
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Understand the effects of and cope with pure time delay in a control loop, compensate for time-delay
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Decide and use different control architectures such as single-loop, cascade, disturbance feedforward, feedforward-feedback and Internal Model Control architectures,
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Design, set up and conduct experiments with pilot scale industrial processes.
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||