Explanation
Modeling, Simulation and Control using Python, System Modeling deals with the creation of structural system models in various forms such as differential algebraic equations, block diagram representation, transfer functions, state space representation, signal flow graph, etc. . It is used to present the model so that the movement of the model and the flow of internal signals is understandable and further control operations can be performed and the behavior of the system can be predicted for changing parameters.
Its mode of operation is not continuous, but it is carried out in individual steps at any time. Calculations are performed at each step interval. A system model is created to collect system data and apply mathematical/physical laws to differential equations. The Discrete model contains the amplitude of the output with respect to time. To change the output of a system, the input to the system can be varied. The part of mathematics that deals with the strategy of choosing the appropriate inputs to generate the expected results is control theory.
What will you learn?
- How to use Python as a control systems simulation tool
- Build a system model in Python.
- Illustrate it in Python format.
- Apply a system control method designed in Python.
- Formulate the equations of motion for mechanical systems.
- Apply performance criteria and adjust the controller based on it.
Who is this course for?
- A control system engineer who wants to expand his current skills
- Python professionals who would like to learn Python control methods
- Engineering students interested in control systems and programming
Specificatoin of Modeling, Simulation and Control using Python
- Publisher: Udemy
- Teacher: Muthiah Shanmugam
- Language : English
- Level: Medium
- Number of courses: 15
- Duration : 1 hour and 27 minutes
Content Modeling, Simulation and Control using Python
Requirements
- Learn the basics of designing control systems
- Have basic knowledge of Python programming
- Able to understand what is System simulation
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