Mechatronics Engineering

The course aims to introduce the student to the basic skills of numerical methods, such as solving linear and nonlinear equations, numerical integration, numerical differentiation, solving ordinary differential equations and their systems, error estimation, approximation and interpolation of curves, using some computer software for numerical solution methods.

First-order differential equations, homogeneous and nonhomogeneous, and methods of solving them; second-order and higher differential equations, homogeneous and nonhomogeneous, and methods of solving them; applications to differential equations; Laplace transforms and their use in solving differential equations; special functions (Bessel, Legendre, etc.); matrices and the various operations on them such as determinants and eigenvalues; linear algebra and the solution of linear systems; eigenvalues.

Principles, applications, components, and configuration of programmable logic controllers. PLC programming methods. Programming input logic and producing logical outputs. Constructing ladder diagrams from a control description of a process. Timer and counter relationships in programmable logic controllers. Programming intermediate relations: arithmetic and digital comparison. Jumping control relations and sequential operations and information systems. Advanced relations including unit-level relations, sequential relations, and matrix relations. Other related programming languages. Operation of connected programmable logic controllers and PLC networks.

Introduction to the MATLAB programming language and its use in matrix operations and solving linear equations; building programs and functions using MATLAB (m-files) and an introduction to MATLAB toolboxes. Graphical representation of data and analysis of mechatronic systems using the Simulink application. Construction and design of three-dimensional dynamic models and stress analysis using SolidWorks and Visual Nastran 4D or any equivalent mechanical design software.

Functions and mathematical models, including inverse trigonometric, exponential, and logarithmic functions; limits and continuity; limits involving infinity; definition of the derivative; derivatives of exponential, logarithmic, and trigonometric functions; derivative rules; rates of change with respect to time; linear approximation and hyperbolic functions. Applications of differentiation; extrema; L'Hôpital's rule and indeterminate forms; graphing of curves; applied problems on maxima.

Introduction, units, independent sources, dependent sources, Ohm's law, Kirchhoff's laws and voltage-current division rules, circuit analysis methods, inductors and capacitors, circuits with inductors and resistors, circuits with capacitors and resistors, circuits with resistor-inductor-capacitor, single-phase and three-phase alternating-current circuits.

This course covers kinematics and inverse kinematics of automated robots in three orthogonal dimensions. Statics and dynamics of robots. Determination of multi-dimensional trajectories and linear control. Motors and sensors used in robotics.

Developing the engineering student’s ability to express ideas through drawings, so that they can draw any design as understood and manufacture it in the future; drawings to comply with universally accepted measurement standards for shape and nomenclature. Manual engineering drawing techniques are the focus of this course, using standard drawing tools.

Kinematic analysis of mechanisms, velocity and acceleration diagrams, analysis of the forces of equilibrium and inertia in machines, dynamic analysis of cams and followers, balancing of machines.