The student will be introduced to the field of manufacturing as a control's application area with an emphasis on machining systems. The student will be exposed to the issues in manufacturing systems and learn how to model, control, and simulate machining systems. Topics include machine structures, servomechanisms, CNC programming, interpolation, coordinated control, process modeling and control

The course is focused on the development of algorithms that include electromechanical. While the objectives of the course are similar to those of a traditional programming course (flowcharting, algorithm development, loops, logical structures, and data arrays), the course presents these topics using C, C++, and MatLab programming languages and tools.

Networks Hierarchy And Switching – Open System Interconnection Model Of ISO – Data Link Control Protocol– Media Access Protocol – Command / Response – Token Passing – TCP/IP; Bridges – Routers – Gateways –Standard ETHERNET; RS 232, RS 485 Configuration Actuator Sensor (AS) – Interface; Fieldbus – Introduction – General Fieldbus Architecture – Basic Requirements Of Fieldbus Standard – Fieldbus

The first course in control systems introduces: Introduction to feedback control systems, Block Diagram Representation , Signal Flow Graph, Analyzing the performance of control systems either in open or closed loops, transient-response analysis and steady state error analysis, basic control actions (PID), tuning methods of PID controller, Steady State Error analysis, stability analysis through the

Hydraulics: Basics of fluid power transmission, operating principals of hydraulic systems, advantages and limitations, hydraulic systems elements structure and design considerations (pumps, hydraulic motors, cylinders, directional valves, control valves, auxiliaries, servo elements). Hydraulic system circuit design, power circuits, control and logic circuits, standard circuits, power packs and

Introduction, Sampled data systems, Z-transform and its properties, Inverse of Z-transform, closed loop performance and stability, Digital PID control design, Pole placement digital control, Independent regulation and tracking pole placement control; Case Study.

Architectural Features of Micro Controllers; The Instruction Set: Instruction format, addressing modes; Interfacing of memory devices; Memory Mapping; Data transfer techniques and I/O ports; Timers; Counters; Programmable Interrupt and DMA controllers; I2C Interface; General Purpose Input Output (GPIO); Interfacing of keyboard and display devices; Interfacing of sensors, transducers, actuators, A

This is an introductory course in robotics for senior undergraduate and junior graduate students who have had little to no other introductory courses on the topic. The course focuses on topics in robotics that relate to modeling, dynamics, and control of robotic manipulators. Mathematical preliminaries include matrix and vector analysis, basic kinematics and kinetics, and classical (frequency

Arithmetic and logic operations, usage of local and global memory locations, flags, comparators, subroutines, loops, labels, analogue module and real time monitoring, Introduction to OPC Servers, DCS and SCADA modules

This course introduces the decision making process criteria to students, and differentiates between different decision making environments. Students are given the knowledge and experience of problem solving techniques by using different operations research modeling and solution techniques, for example linear and integer programing, graphical and analytical solution methods. Through practical

Introduction to MEMS technology, Benefits of Miniaturization, Fabrication technologies for MEMS (surface, bulk micromachining, and LIGA). MEMS Material. Basic sensing and actuation principles. Microsystems Design, MEMS packaging, assembly and testing. Clean Rooms and its instruments. Case study.

This course includes the modelling in state space; State Space Representation of Scalar Differential Equations; State Space Representation of Transfer Function; Controllability; Observability; Pole Placement; Solving Pole Placement Problem Using MATLAB; Design of Servo Systems; State Observers; Design of Regulator System with Observer; Design of Control System with Observer; Quadratic Optimal

The course covers the basics of Electronic systems, Input, Output signals, . Input Devices: Switches , Phototransistors , Hall –Effect Devices , Thermistors , Potentiometers , Photoresistors , Variable Reluctance devices , Piezoelectric Sensors . Input sensors: Position / Speed Sensors Crankshaft Position sensors, camshaft position sensor, Sensors Applications . Electronic control Unit ( ECU )

This course introduces various concepts and components of autonomous systems in an autonomous mobile robotics context. The main concepts covered include locomotion, vehicle kinematics, autonomous navigation and intelligent path planning and perception, control of robotic manipulators, machine vision, the dynamics of wheeled, air, space and underwater robots, navigation and localization. System

In the robotics area, the computer vision applies AI techniques to the problem of making devices capable of interacting with the physical world. In this course, the emphasis is on the learning of artificial intelligence and machine learning techniques, which are important for mechatronics applications. Topics include mainly fuzzy logic, genetic algorithms, and neural networks.

In this course, an introduction to the theory and practice of computer vision. The students should be able to analyze the patterns in visual images with the view to understanding the objects and processes in the world that generate them. Major topics include image representation, image processing, feature extraction, and object recognition. The emphasis is on the learning of mathematical concepts