SylabUZ
| Course name | Modelling and computer aided design |
| Course ID | 06.2-WE-ELEKTP-MandCAD-Er |
| Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
| Field of study | Electrical Engineering |
| Education profile | academic |
| Level of studies | First-cycle Erasmus programme |
| Beginning semester | winter term 2017/2018 |
| Semester | 5 |
| ECTS credits to win | 5 |
| Course type | optional |
| Teaching language | english |
| Author of syllabus |
|
| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Lecture | 30 | 2 | - | - | Exam |
| Laboratory | 15 | 1 | - | - | Credit with grade |
| Project | 15 | 1 | - | - | Credit with grade |
- familiarize with the basic problems of modeling and design
- familiarize with the basic modeling methods as well as shape skills of selection and application
- develop skills from region of programs using to assist in the design, modelling and analysis of circuits
Mathematical Analysis, Algebra, Fundamentals of Electrical Engineering, Methods and Techniques for Programming I and II.
Introduction. Basic concepts. Systems. Dynamics of systems. State equations and output equation. Balance and stability. Similarity and analogy of dynamic systems.
Mathematical models. Continues and discreet models. Static and dynamic models. Control models.
Models of elements. Models of switches. Static and dynamic characteristics of switches. Models of passive elements. Models of elements with magnetic coupling. Model of DC motor.
Topology of converter systems. Incidence matrix. Circuit matrix. Cut matrix. Modeling of nonlinear systems. Methods: small parameter, averaging, harmonic balance. Modeling feedback systems. Circuits with PWM. System stability. The phenomenon of chaos.
Methods of mathematical analysis. Solution of linear state equation of continuous system. Solution of differential equations by Laplace transform. Numerical solution of ordinary differential equations. Multistep methods. Stability of methods. Concept of stiffness of differential equations. Statistical methods. Characteristics of programs: Pspice, Matlab, Mathcad, Mathematica, Maple, Tcad. Comparison of accuracy, capabilities and application area. Topology description of the layout. Convergence and accuracy of calculations.
Lecture, laboratory exercises, project
| Outcome description | Outcome symbols | Methods of verification | The class form |
Lecture – obtaining a positive grade in written or oral exam.
Laboratory – the main condition to get a pass are sufficient marks for all exercises and tests conducted during the semester.
Project – the main condition to get a pass is acquiring sufficient marks for all project tasks as scheduled
Calculation of the final grade: lecture 40% + laboratory 30%+project: 30%
1. Richard Hamming. Numerical Methods for Scientists and Engineers. Courier Corporation, 2012
2. Leon O. Chua, Charles A. Desoer, Ernest S. Kuh. Linear and Nonlinear Circuits. McGraw-Hill, 1987
3. John Keown. OrCAD PSpice and Circuit Analysis. Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 2000
1. Ramshaw, E., Schuurman, D.C. PSpice Simulation of Power Electronics Circuits. Springer, 1998.
2. Dingyu Xue, YangQuan Chen. System Simulation Techniques with MATLAB and Simulink. Wiley, 2013.
Modified by dr hab. inż. Radosław Kłosiński, prof. UZ (last modification: 27-04-2017 08:51)
