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Start   >  Master's & postgraduate courses  >  Education  >  Master's degree in Technologies Applied to Mechatronics 4.0
Information session

07-09-2022

Online
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  • discount
    This programme is part of the Talent Help grants programme
     
  • discount
    This programme is part of the Employment Help grants programme
     
  • discount
    10% discount if you enrol before 16th September

Presentation

Edition
22th Edition
Credits
60 ECTS (450 teaching hours)
Delivery
Face-to-face
Language of instruction
Spanish
Fee
€8,200 €7,380(10% discount if you enrol before 16th September)
Payment of enrolment fee options

The enrolment fee can be paid:
- In a single payment to be paid within the deadline specified in the letter of admission to the programme.
- In two instalments:

  • 60% of the amount payable, to be paid within the deadline specified in the letter of admission to the programme.
  • Remaining 40% to be paid up to 90 days at the latest after the starting date of the programme.
- In four instalments, splitting the payment by direct debit:
  • 40% of the amount payable, to be paid within the deadline specified in the letter of admission to the programme.
  • The remaining 60% will be divided into 3 direct debit payments, which will be distributed equidistantly between the beginning and end of classes.
  • The student must have and be the holder of a bank account with IBAN ESXX
Notes 0,7% campaign

Registration open until the beginning of the course or until end of vacancies.
Start date
Classes start: 10/10/2022
Classes end: 13/07/2023
Programme ends : 30/04/2024
Timetable
Monday: 6:00 pm to 9:30 pm
Tuesday: 6:00 pm to 9:30 pm
Wednesday: 6:00 pm to 9:30 pm
Thursday: 6:00 pm to 9:30 pm
Taught at
ETSEIB - Escola Tècnica Superior d'Enginyeria Industrial de Barcelona
Av. Diagonal, 647
Barcelona
Why this master's degree?
To get the highest production and energy efficiency when using a group of coordinated industrial machines you need to make sure there is proper communication between them and their external environment, to automate their function controls and know how to apply the necessary IT tools to these devices.

Industrial machines and products designers must define and provide solutions for the components they create, especially when they are increasingly being incorporated into other electronic devices. Mechatronics is defined as the process of integrating these mechanical, electronic, and computer technologies.

This master's course will provide device and product designers, who normally base their experience on the mechanical engineering field, with the knowledge and tools needed to integrate mechanical and electronic elements. This course provides up to date solutions for industrial communication, language and IT environments used in industrial control.
Aims
  • To integrate electronics, informatics and communications technology into the design of a component or mechanical system.
  • To design mechatronic components and systems that are better adapted to product needs.
  • To automate the function of mechanical systems and make it possible for them communicate with their environment.
  • Present and contract the sensorized information of the machines for their use.
Who is it for?
  • Engineers.
  • Professionals in the economic sector with technical vision.
  • Professionals in the technical field.

Training Content

List of subjects
12 ECTS 116h
Mechatronic Components and Systems
  • Introduction and Basic Concepts
    • Introduction to electrotechnics.
    • Introduction to electronics.
    • Introduction to simulation with Matlab / Simulink.

- Sensors

    • Presence sensors.
    • Position, speed and acceleration sensors.
    • Deformation, force and pressure sensors.
    • Temperature, flow and level sensors.
    • Sensors of electrical magnitudes.
    • Sensor connection.
    • Electric actuators
    • Constituent materials of electric actuators: conductors, dielectric and magnetic.
    • DC motor.
    • Synchronous motor, brushless DC and brushless AC.
    • Induction motor.
    • Selection of motors based on kinematic chains.


- Hydraulic and Pneumatic Automation and Drives

    • General concepts of hydraulics, pumps and fluid treatment.
    • Elements of hydraulic circuits and systems and typical applications.
    • Selection of elements and design of hydraulic circuits and systems.
    • General concepts of pneumatics, compression and air treatment.
    • General pneumatics elements: valves and components.
    • Design of pneumatic automation.
    • Safety in pneumatic applications.
    • General electropneumatic elements: electrovalves, relays and electromechanical logic.
    • Design of electropneumatic automation.
    • Energy saving in pneumatics.
    • Power Electronics
  • Introduction to static converters.
    • Basic typologies.
    • Real switches: trip and protection.
    • Other elements in power electronics.
    • DC / DC, DC / AC and AC / DC converters.
    • Converter design.
    • Applications.
12 ECTS 91h
Techniques for Digitization in Industry
  • Mathematical Principles and Optimization Tools
    • Basic principles of optimization.
    • Mathematical, deterministic and heuristic formulations.
- Information Technology

    • Introducció a les TICs (Virtualització, Linux).
    • Introduction to programming (language C).
    • Repository management (GIT).
    • Data Bases.
    • Design of web pages (HTML and CSS).
    • Programming languages: PHP and Javascript.

- Introduction to Big Data and Machine Learning

    • Introduction to Python.
    • Data visualization for Data Science.
    • Introduction to Big Data and Machine Learning: basic concepts, learning types, data pipeline and fields of application.
    • Descriptive statistics for data analysis. Understanding, cleaning and pre-processing of data.
    • Supervised learning models: regression.
    • Supervised learning models: classification.
    • Unsupervised learning models: clustering, dimensionality reduction.
  • Industrial applications of Machine Learning
    • Digital twin.
    • Predictive maintenance: installation of sensors, data monitoring and performance of a failure prediction algorithm.
    • Artificial intelligence for component design.
12 ECTS 101h
Elements for Digitization in Industry
  • Microcontrollers and Programmable Logic
    • Basic concepts of microcontrollers, types and structure of memory, types of inputs and outputs, programming languages.
    • Logic functions and Boolean logic.
    • Combinational and sequential systems. Flip-flops, registers and counters.
    • Formats for saving data, format changes, direct and indirect addressing, program counter.
    • Main modules and tools: oscillator, timers, comparators, A / D and D / A converters, PWM, communications, interruptions, watchdog timer, standby mode, real-time clock, management of flash memories and EEPROM.
    • Assembler programming, RISC instructions, examples.
    • C programming, examples.
  • Data Acquisition
    • Introduction to data acquisition systems.
    • Acquisition in the temporal domain.
    • Programming of acquisition systems with labview.
    • Signal acquisition and treatment with Matlab.
  • Digital Signal Controllers (DSCs)
    • Introduction to DSC.
    • Configuration of the DSC and its peripherals.
    • Fixed point libraries (IQmath).
    • DSC peripherals aimed at motor control.
  • Industrial Communications
    • Introduction to telecommunications.
    • Power Line Communication (PLC).
    • Ethernet and TCP / IP.
    • Cybersecurity in the industrial environment.
    • Fieldbus concepts.
    • CAN, Modbus and CANOpen.
12 ECTS 112h
Automation and Control of Mechatronics Systems
  • Introduction to Programmable Controllers
    • Introduction to automation and programming languages.
    • Introduction to programming languages: Graphics (Ladder (LD)), Functional Blocks (FBD, Grafcet) and textual (structured, ST) and list of instructions (IL).
    • First steps in the programming of industrial automatons.
    • Ladder programming practices and use of standard counter or timer-type functional blocks (TON, TOFF and TP).
    • Automation design in Grafcet.
    • Introduction to the IEC61131 standard.
    • The Gemma Guide.
    • Introduction to programming a stepper motor and HMI (Human Machine Interface) interfaces.
  • Application of Industrial Programmable Automatons
    • Programming for the application / process layer of a stepper motor.
    • Automation of a flexible production cell based on electric and electro-pneumatic actuators.
    • Automation and control of an induction motor controlled by a variator: open loop and implementation of a PID.
    • Application of the Gemma Guide.
  • Control of Dynamic Mechatronic Systems
    • Standard models of dynamic systems.
    • Single Input Single Output Systems (SISOs).
    • The transfer function. Stability. Standard systems of order 1 and 2.
    • The PID controller.
    • Interpretation of performance or sensitivity functions.
    • Control in state space.
    • Linearization for non-linear systems.
  • Digital Control of Mechatronic Systems
    • Hybrid systems.
    • Introduction to digital control and the Z transform.
    • The order maintainer 0 and its model.
    • Manipulation of transfer functions in z.
    • Stability and tuning.
    • Correspondence between domains (Laplace - Z).
    • Implementation of functions in Z to difference equations.
    • o Digital filters: FIR (Finite Impulse Response) and IIR (Infinite Impulse Response).
    • o Examples of discrete time control and implementation in DSP.
12 ECTS 30h
Master Project
With the final project, students worked for a reminder of the agenda for the postgraduate and demonstrates that it has acquired the necessary knowledge.
The UPC School reserves the right to modify the contents of the programme, which may vary in order to better accommodate the course objectives.
Degree
Special master's degree issued by the Universitat Politècnica de Catalunya. Issued pursuant to art. 34.1 of Organic Law 4/2007 of 12 April, amending Organic Law 6/2001 of 21 December, concerning Universities. To obtain it, is necessary to have an official university qualification. Otherwise, the student will receive a course completion certificate of the programme issued by the Fundació Politècnica de Catalunya. (Ver datos que constan en el certificado).
Range of modules
The master's degree programme is organized into the following modules. If you don't wish to take the entire master's degree you can sign on one or several modules.
Master's degree:
relation Postgraduate courses:

Learning methodology

The teaching methodology of the programme facilitates the student's learning and the achievement of the necessary competences.



Learning tools
Participatory lectures
A presentation of the conceptual foundations of the content to be taught, promoting interaction with the students to guide them in their learning of the different contents and the development of the established competences.
Practical classroom sessions
Knowledge is applied to a real or hypothetical environment, where specific aspects are identified and worked on to facilitate understanding, with the support from teaching staff.
Solving exercises
Solutions are worked on by practising routines, applying formulas and algorithms, and procedures are followed for transforming the available information and interpreting the results.
Visits
These visits are to specialist centres, companies in the sector or outstanding and important locations in the sector, in order to obtain knowledge in situ of development, production and demonstration environments within the programme.
Assessment criteria
Attendance
At least 80% attendance of teaching hours is required.
Solving exercises, questionnaires or exams
Individual tests aimed at assessing the degree of learning and the acquisition of competences.
Completion and presentation of the final project
Individual or group projects in which the contents taught in the programme are applied. The project can be based on real cases and include the identification of a problem, the design of the solution, its implementation or a business plan. The project will be presented and defended in public.
Work placements & employment service
Students can access job offers in their field of specialisation on the My_Tech_Space virtual campus. Applications made from this site will be treated confidentially. Hundreds of offers of the UPC School of Professional & Executive Development employment service appear annually. The offers range from formal contracts to work placement agreements.
Virtual campus
The students on this master's degree will have access to the My_ Tech_Space virtual campus - an effective platform for work and communication between the course's students, lecturers, directors and coordinators. My_Tech_Space provides the documentation for each training session before it starts, and enables students to work as a team, consult lecturers, check notes, etc.

Teaching team

Teaching staff
  • Barja Martínez, Sara
    info
    View profile in Linkedin
    Master in Industrial Engineering with a specialty in Energy from the Polytechnic University of Catalonia (UPC). Project engineer at the Center for Technological Innovation in Static Converters and Drives (CITCEA-UPC) in the energy area and PhD student in Electrical Engineering, focusing her research on the flexibility market, developing energy management algorithms applying intelligence techniques artificial and optimization. Co-director of the Master in Smart Energy.
  • Chillón Antón, Cristian
    info

    Industrial Engineer from the Polytechnic University of Catalonia (UPC). Project Engineer at CITCEA-UPC specialized in converter control algorithms. Experience working on projects developing microgrids, active filters, photovoltaic converters, electric vehicle and storage systems chargers.
  • Díaz González, Francisco
    info
    View profile in futur.upc / View profile in Linkedin
    Doctor in Industrial Engineering from the Polytechnic University of Catalonia (UPC). Professor of the Department of Electrical Engineering of the UPC and member of the Center for Technological Innovation in Static Converters and Drives (CITCEA-UPC). Ten years of experience in the application of energy storage systems in renewable generation systems and electrical networks.
  • Fillet Castellà, Sergi
    info
    View profile in futur.upc
    Industrial Engineer from the Universitat Politècnica de Catalunya (UPC). Professor of Electrical Engineering at the UPC.
  • Galceran Arellano, Samuel
    info
    View profile in futur.upc
    Ph.D. in Industrial Engineering from the Universitat Politècnica de Catalunya. Assistant Professor University and creator of CITCEA-UPC.
  • Heredia Cervera, Francisco Javier
    info
    View profile in futur.upc / View profile in Linkedin
    Graduated in Physical Sciences from the University of Barcelona (UB) and Doctor in Operations Research from the Polytechnic University of Catalonia (UPC). Associate Professor in the Department of Statistics and Operations Research at the UPC. His area of interest is mathematical optimization models and algorithms applied to problems in energy systems (renewable energy, electricity market), and supply chain (Industry 4.0). He has participated in a total of 17 funded research projects, seven of them as principal investigator, in collaboration with various companies in the energy sector and industrial production.
  • Jené Vinuesa, Marc
    info
    View profile in Linkedin
    Double Master in Energy Engineering from the Katholieke Universiteit Leuven (KUL) and the Universitat Politècnica de Catalunya (UPC), within the Energy for Smart Cities (EIT InnoEnergy) program. Degree in Engineering in Industrial Technologies from the UPC. He is currently part of the team of the Center for Technological Innovation in Static Converters and Drives (CITCEA-UPC) and works on Big Data projects applied to the energy industry. He has been selected to participate in various entrepreneurship programs such as the Red Bull Basement and the InnoEnergy Entrepreneurship Journey.
  • Llonch Masachs, Marc
    info

    Industrial Engineer from the Universitat Politècnica de Catalunya (UPC). Senior project engineer at CITCEA-UPC. With six years of experience in the design and development of electric power converters, both connected to the network and for motor control. His main research has focused on microgrids, switching strategies for three-phase inverters and electric mobility, providing several publications on the subject. Currently, he also teaches industrial control in the master's degree in Automated Production and Robotics at CIM-UPC.
  • Miguel Espinar, Carlos
    info
    View profile in Linkedin

    Electrical Engineer by Universitat Politècnica de Catalunya (UPC) who focuses his research on Power Electronics. He is working as a Project Manager at CITCEA-UPC in the Mechatronics Area. He is doing his PhD in the development of control algorithms for synchronous machines in electric mobility applications. He has been developing Power Electronics and its control in different applications: control and FEM design of synchronous machines and induction heating converters. He participates as a teacher in the Master of Mechatronics for the last ten years.

  • Montesinos Miracle, Daniel
    info
    View profile in futur.upc / View profile in Linkedin
    Ph.D. Electrical Engineering from the Universitat Politècnica de Catalunya. Professor in the Department of Electrical Engineering of the UPC.
  • Prieto Araujo, Eduardo
    info
    View profile in futur.upc
    Doctor in Electrical Engineering from the UPC. Reader professor in the Electrical Engineering Department of the UPC. Researcher of the CITCEA-UPC.

Associates entities

Collaborating partners

Career opportunities

  • Expert in quality and industrial maintenance.
  • Supervisor of production control systems and machines.
  • Consultant specializing in the design and control of automated systems.
  • Data analyst for industrial processes.

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Once the fee has been paid and we have all your documentation, we will assess your candidacy and, if you are admitted on the course, we will send you a letter of acceptance. This document will provide you with all the necessary information to formalize the enrolment process for the programme.




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