Automatic control theory experiment Beijing Institute of Technology

This course mainly introduces classical control theory, intelligent control theory and related experiments, and contains 11 chapters in total. The following goals are achieved through course teaching:
(1) To enable students to master the basic concepts and experimental principles of classical control theory and intelligent control theory, and master commonly used calculation methods and analysis methods in the time domain and frequency domain.
(2) Enable students to connect theory with practice, design experimental algorithms through MATLAB programming, and independently complete simulation experiments

(3) Enable students to understand the relationship between automatic control technology and other disciplines such as artificial intelligence and intelligent manufacturing, and combine automation technology with other emerging technologies to promote the country’s intelligent development.

Courseware http://download.eeworld.com.cn/detail/%E6%9C%A8%E7%8A%AF001%E5%8F%B7/608428

• Chapter 1：Introduction to course related knowledge (7 minutes and 42 seconds)

• Chapter 2：Application examples and development trends of automatic control theory (5 minutes and 29 seconds)

• Chapter 3：Introduction to experimental equipment (6 minutes and 35 seconds)

• Chapter 4：Model and classification of step response of second-order system (10 minutes and 25 seconds)

• Chapter 5：Calculation method of step response of second-order system (14 minutes and 59 seconds)

• Chapter 6：Application of second-order system step response in automobile suspension system (14 minutes and 33 seconds)

• Chapter 7：Second-order system simulation experiment (3 minutes and 37 seconds)

• Chapter 8：Basic principles of high-order system stability analysis (15 minutes and 28 seconds)

• Chapter 9：Critical stability gain solution and step response analysis (16 minutes and 55 seconds)

• Chapter 10：Example of step response of three-capacity water tank level control system (15 minutes and 12 seconds)

• Chapter 11：Third-order system simulation experiment (3 minutes and 37 seconds)

• Chapter 12：Basic principles of PID control system (11 minutes and 58 seconds)

• Chapter 13：PID calculation method and parameter tuning (17 minutes and 46 seconds)

• Chapter 14：Application of PID control system in liquid level control of single-capacity water tank (10 minutes and 52 seconds)

• Chapter 15：PID control algorithm simulation experiment (2 minutes and 36 seconds)

• Chapter 16：Introduction to the principle of lead and lag correction (16 minutes and 55 seconds)

• Chapter 17：Calculation method for lead lag correction (16 minutes and 36 seconds)

• Chapter 18：Application of lead and lag correction in variable frequency power supply (14 minutes and 54 seconds)

• Chapter 19：Lead lag correction simulation experiment (6 minutes and 3 seconds)

• Chapter 20：Basic principles of pole configuration (15 minutes and 17 seconds)

• Chapter 21：Application of pole configuration vehicle suspension system (15 minutes and 7 seconds)

• Chapter 22：Pole configuration simulation experiment (4 minutes and 5 seconds)

• Chapter 23：basic fuzzy theory (12 minutes and 32 seconds)

• Chapter 24：fuzzy control system (10 minutes and 35 seconds)

• Chapter 25：Application of fuzzy control in club system (13 minutes and 47 seconds)

• Chapter 26：Fuzzy control algorithm simulation experiment (3 minutes and 7 seconds)

• Chapter 27：Introduction to basic knowledge of neural networks (9 minutes and 45 seconds)

• Chapter 28：Principles and calculation methods of neural network control algorithms (15 minutes and 58 seconds)

• Chapter 29：Application of BPNN-PID controller in greenhouse temperature control (16 minutes and 26 seconds)

• Chapter 30：Neural network control simulation experiment (8 minutes and 50 seconds)

• Chapter 31：Basic principles of genetic algorithm (15 minutes and 11 seconds)

• Chapter 32：Application of genetic algorithm in club control system (9 minutes and 56 seconds)

• Chapter 33：Genetic Algorithm Simulation Experiment (6 minutes and 32 seconds)

• Chapter 34：Fuzzy PID liquid level control system (11 minutes and 0 seconds)

• Chapter 35：Application of fuzzy control in boiler system (10 minutes and 56 seconds)

• Chapter 36：Fuzzy PID control algorithm simulation experiment (4 minutes and 13 seconds)

• Chapter 37：Theoretical basis for root locus correction (18 minutes and 12 seconds)

• Chapter 38：Calibration case of root locus method (17 minutes and 22 seconds)