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Mechatronics, Robotics and Control
Simulation software plays a crucial role in control systems and robotics engineering by facilitating modeling, analysis, and design validation before physical implementation. Key software platforms include MATLAB/Simulink, Scilab/Xcos, and RoboDK, which offer unique features tailored for various applications such as controller design, real-time prototyping, and robotics simulation. The chapter emphasizes the educational value of these tools, enabling hands-on experimentation and real-world skills development.
Course Chapters
Electro-Mechanical Systems & Applications
Mechatronics stands at the intersection of mechanical engineering, electronics, computer systems, and control theory, leading to the development of intelligent systems. Electro-mechanical systems integrate these domains through components such as sensors, actuators, and controllers, resulting in applications across various fields including automotive technology, home appliances, and medical instruments. The chapter emphasizes the importance of mechatronics in enhancing automation, miniaturization, and precision in modern engineering practices.
Sensors and Transduction Principles
The module covers the fundamental concepts of sensors and their transduction principles, which are essential for measuring various physical properties. It outlines different sensor characteristics, common engineering sensors, signal conditioning requirements, and criteria for sensor selection. Furthermore, it highlights effective noise management techniques to ensure accurate readings from sensors.
Acutators
Actuators are vital components that convert energy into mechanical motion, essential for various automated systems. Understanding the different types of actuators, such as pneumatic, hydraulic, electric, solenoids, and active materials, allows engineers to optimize machinery for efficiency and precision. The chapter provides insights into their principles, applications, advantages, and limitations, emphasizing their importance in industries like manufacturing, automotive, and robotics.
Machine Controls
Machine controls are fundamental to modern manufacturing and automation systems, encompassing the use of microprocessors, microcontrollers, and PLCs among other technologies. A comprehensive understanding of these components enables engineers to optimize automated processes. The chapter also emphasizes the importance of programming in controlling hardware and highlights the role of industry kits such as Arduino and Raspberry Pi in prototyping.
Robotics
The chapter covers fundamental concepts in robotics, including the distinctions between serial and parallel robot configurations and their applications. It discusses mathematical frameworks such as Denavit-Hartenberg parameters for kinematic analysis, along with robotics concepts like forward and inverse kinematics, workspace estimation, and path planning. The chapter also explores the roles of robot vision, motion tracking, and control strategies in modern robotic applications.
Control Theory and Systems
Control systems are essential in managing the behavior of devices and processes to achieve specific responses through inputs and outputs. Key concepts include feedback mechanisms, types of control systems, and the functions of controllers like P, PI, and PID. Techniques for tuning, analyzing, and designing control systems, including block diagrams and frequency response methods, are discussed to enhance system performance and stability.
Computational Tools
Simulation software plays a crucial role in control systems and robotics engineering by facilitating modeling, analysis, and design validation before physical implementation. Key software platforms include MATLAB/Simulink, Scilab/Xcos, and RoboDK, which offer unique features tailored for various applications such as controller design, real-time prototyping, and robotics simulation. The chapter emphasizes the educational value of these tools, enabling hands-on experimentation and real-world skills development.