The Control and Measurements course is designed to provide students with a comprehensive understanding of control systems and measurement techniques. This course explores the principles, theories, and practical applications of control engineering and precision measurements in various fields.
Throughout the course, students will delve into the fundamental concepts of control theory, including feedback systems, stability analysis, and controller design. They will learn how to model dynamic systems, analyze their behavior, and design control strategies to achieve desired performance objectives.
In addition, the course will cover a wide range of measurement techniques used to acquire accurate and reliable data in real-world scenarios. Students will learn about sensors, transducers, and measurement instrumentation, as well as calibration methods and uncertainty analysis. They will also gain practical experience in designing measurement systems and acquiring and analyzing data.
Key topics covered in the course may include:
Introduction to control systems and their applications
Mathematical modeling of dynamic systems
Time-domain and frequency-domain analysis of control systems
Stability analysis and controller design
Feedback control techniques
Control system performance specifications and optimization
Introduction to sensors and transducers
Signal conditioning and measurement instrumentation
Calibration techniques and uncertainty analysis
Data acquisition and analysis methods
Integration of control systems with measurement systems
Case studies and real-world applications
By the end of the course, students will have gained the knowledge and skills necessary to design, analyze, and implement control systems and measurement techniques. They will be equipped to tackle challenges in a wide range of industries, such as manufacturing, robotics, automation, aerospace, and more, where precise control and accurate measurements are crucial for optimal system performance.