What are the two tasks and three methods of the course of automatic control principle?

The course of automatic control principle has two major tasks and three major methods: two major tasks are system modeling and controller design, and three major methods are mathematical modeling, classical control methods and modern control methods.

1. System modeling: System modeling refers to transforming the actual physical system into a mathematical model for the analysis and design of the controller. Common system modeling methods include difference equation model, transfer function model and state space model.

2. Controller design: Controller design refers to designing a controller that can make the system output change as expected according to the system model. The controller can adopt different design methods according to different requirements.

3. Mathematical modeling: Mathematical modeling refers to transforming practical problems into mathematical models through mathematical methods. In the principle of automatic control, mathematical modeling is the process of transforming the actual physical system into a mathematical model, which provides a basis for controller design.

4. Classical control method: Classical control method is based on traditional control theory, which mainly includes proportional integral differential control (PID control) and frequency domain control. These methods are easy to understand and widely used in industrial control.

5. Modern control method: Modern control method is based on modern control theory, including state feedback control, optimal control and adaptive control. These methods are more accurate and efficient in theory and can meet more complicated control requirements.

Importance of Automatic Control Principle Course

1, theoretical basis: the course of automatic control principles provides basic theories and concepts in the field of automatic control, including modeling, mathematical expression and analysis methods of control systems. These theoretical foundations are very important for understanding and applying automatic control technology.

2. System design and optimization: The course of automatic control principle teaches how to design and optimize the control system to achieve the required system performance. Learning this course can help engineers understand and apply various control strategies and methods, thus optimizing the operating efficiency, stability and robustness of the system.

3. Engineering application: The course "Automatic Control Principle" cultivates students' ability to apply automatic control technology in practical engineering. Whether in machinery, electric power, chemical industry, aerospace and other fields. Automatic control is widely used in monitoring, adjustment and control of various systems, such as industrial process control, aircraft navigation control and robot control.