Automatic control theory is a core professional basic course in the automation discipline, and is also the theoretical basis for the research and design of complex engineering control systems. This course, also known as classical control theory, includes (1) Introduction to control systems, focusing on feedback principles; (2) Modeling of control systems, focusing on differential equations and mechanism method modeling, Laplace transform, and transfer functions. , frequency response model, data-driven model and the composition and block diagram transformation of typical control systems; (3) Analysis and performance evaluation of control systems, including the time response, structural properties, stability, steady-state accuracy, dynamic performance and timing of dynamic systems. Domain-frequency domain analysis method; (4) Frequency domain design of control system, PID controller and parameter tuning method, lead and lag correction.
Total of 144 lessons1 days and 10 hours and 13 minutes and 18 seconds
The course takes classical control theory as the main content, and also includes parts of modern control theory and digital control systems. Classical control theory mainly introduces the mathematical model of the control system, control system performance, control system stability, root locus method, frequency response method, frequency domain stability, frequency response design method, etc.; modern control theory mainly introduces the state space model, energy Controllability and observability, state variable feedback control system design, state observer design, etc.; digital control system mainly introduces sampling and hold, Z transformation, mathematical model of digital control system, performance analysis of digital control system, and digital control system design. wait
Total of 37 lessons12 hours and 51 minutes and 40 seconds