ࡱ> W ~bjbjJJD(a(a.?&``8S/$1$"S$S$S$.%.%.%VJ.%.%.%.%.%S$S$x....%S$S$..%..~c8ˏS$@VLw<'~Xu0( ˏˏ .%.%..%.%.%.%.%,.%.%.%.%.%.%.%.%.%.%.%.%.%.%.%.%`m : NATIONAL UNIVERSITY OF LIFE AND ENVIRONMENTAL SCIENCES OF UKRAINE Machines and equipment design department APPROVED Faculty of design and engineering 10 June 2025 CURRICULUM OF ACADEMIC DISCIPLINE THEORY OF MECHATRONIC SYSTEMS (title) Area of knowledge: G "Engineering, production and construction" Specialty: G11 "Mechanical Engineering (by specializations)" Academic programme "Machines and equipment of agricultural production" Orientation of the program: educational and scientific Faculty of design and engineering Developed by: doctor of technical sciences, professor Romasevych Yu.O., Doctor of technical sciences, professor Loveikin V.S., PhD. Spodoba .. Kyiv  2025 Description of the discipline THEORY OF MECHATRONIC SYSTEMS (title) The relevance of studying the discipline "Theory of Mechatronic Systems" is due to the rapid development of modern technologies that require the integration of mechanics, electronics, automation and information technologies. Mechatronics is the basis for creating high-tech systems - from industrial robots to household devices with elements of artificial intelligence. Knowledge of this discipline allows future specialists to understand the principles of construction and functioning of complex technical systems, optimize their work, ensure reliability and efficiency. In the modern world, where automation covers more and more industries, the demand for mechatronics specialists is growing rapidly, which makes the study of the theory of mechatronic systems not only relevant, but also strategically important for technical progress and competitiveness in the labor market. Area of knowledge, specialty, academic programme, academic degreeAcademic degree MasterSpecialty G11 Mechanical Engineering (by specializations)Academic programmeMachines and equipment of agricultural productionCharacteristics of the disciplineTypeMandatory General volume of hours180Number of credits ECTS 6Number of modules6Course project-Control formExam, testIndicators of the discipline for full-time forms of university studyYear of study1Term1, 2Lectures60 h.Practical classes and seminars-Laboratory classes60 h.Self-study60 h.Number of hours per week for full-time students6 h. 1st term 2 h. 2nd term 1. Aim, competences and expected learning outcomes of the discipline The purpose of studying the discipline "Theory of Mechatronic Systems" is to provide students with theoretical knowledge and practical skills in the integration of mechanical, electronic and software components to create complex and functional mechatronic systems. The main objectives of studying the discipline "Theory of Mechatronic Systems" include: 1. Understanding the basic principles and concepts of mechatronics: students become familiar with the principles of functioning of mechatronic systems, study the basics of mechanics, electronics, control and programming; 2. Mastering theoretical knowledge and skills in the development of mechatronic systems: students study methods of analysis, design and modeling of mechatronic systems, including the selection and integration of components, the development of control algorithms and software; 3. Studying modern technologies and trends in mechatronics: students explore modern achievements in the field of mechatronics, such as robotics, autonomous systems, artificial intelligence, the Internet of Things and other innovative developments; 4. Developing practical skills and abilities in the implementation of mechatronic systems: students gain practical experience in designing, assembling, debugging and testing mechatronic devices and systems. They study the processes of manufacturing and optimizing mechatronic systems, as well as mastering methods of maintenance and repair; 5. Promoting the development of creative thinking and engineering thought: students learn to analyze problems, find innovative solutions and use a creative approach to designing mechatronic systems. Competences acquired: integral competence: the ability to solve complex tasks and problems in mechanical engineering that involve research and/or innovation and are characterized by uncertainty of conditions and requirements. general competences (GC): GC7. Ability to identify, pose and solve problems. GC10. Ability to conduct research at an appropriate level. special (professional) competencies (SC): SC3. Ability to create new techniques and technologies in the field of mechanical engineering. SC7. Ability to perform scientific, practical and applied research in the field of mechanical engineering. SC8. Ability to model and study the dynamics of motion of machines for various purposes, as well as to optimize them. SC9. Ability to develop, study and explain mechanical, electromechanical, electronic and information processes that underlie the synthesis of mechatronic motion control systems for modern machines, in particular, agricultural. Expected learning outcomes (ELO): ELO05. Analyze engineering objects, processes and methods. ELO08. Plan and carry out scientific research in the field of mechanical engineering, analyze their results, justify conclusions. Programme and structure of the discipline Modules and topicsWeeksTotalIncludinglplabinds.st.Semester 1Module 1. Microcontrollers in mechatronic systemsTopic 1. Microcontroller structure152-3--Topic 2. Microcontroller I/O Ports1-252-3--Topic 3. Sensor-microcontroller interfaces (SPI, UART, I2C)2-3163-3-10Total by module 1267-9-10Module 2. DAC and ADC in mechatronic systemsTopic 1. Discrete and analog forms of data representation. Advantages digital systems3-452-3--Topic 2. General characteristics and circuits of ADCs4-552-3--Topic 3. General characteristics and schemes of DACs5-652-3--Topic 4. Counting Theorem and its Practical Implications6122---10Total by module 2278-9-10Module 3. Sensors of mechatronic systemsTopic 1. Sensors of mechanical quantities6-7135-3-5Topic 2. Sensors of electromagnetic quantities7-985-3--Topic 3. Sensors for measurement hydraulic and thermal quantities9-1063-3--Topic 4. Operational amplifier1052-3--Total by module 33215-12-5Module 4. Drives of mechatronic systemsTopic 1. Requirements for drives, quality indicators of drive regulation1152-3--Topic 2. Controlled electric drive direct current11-1274-3--Topic 3. Stepping engines13-14124-3-5Topic 4. Asynchronous electric drive with frequency regulation14-15115-6--Total by module 43515-15-5Total for 1 semester-12045-45-30Semester 2Module 5. PID controllers in agricultural machinery motion control systemsTopic 1. Classic PID controller and its partial cases1172---15Topic 2. About the feature real PID controllers222----Topic 3. The most common modifications of PID controllers322----Topic 4. PID controller tuning methods4-892-7--Total by module 5-308-7-15Module 6. Fundamentals of intelligent control systems of agricultural machinery movementTopic 1. Fundamentals of fuzzy motion control systems8-1273-4--Topic 2. Fundamentals of the system management ohm based movement artificial neural networks12-15234-4-15Total by module 6307-8-15Total for 2 semesters6015-15-30Total hours18060-60-60 3. Topics of lectures !Topic Hours1Microcontroller structure22Microcontroller I/O ports23Sensor-microcontroller interfaces (SPI, UART, I2C )34Discrete and analog forms of data representation. Advantages digital systems25General characteristics and circuits of ADCs26General characteristics and circuits of DACs27Counting Theorem and its Practical Implications28Mechanical quantity sensors59Electromagnetic sensors 510Sensors for measurement hydraulic and thermal quantities311Operating amplifier212Requirements for drives, quality indicators of drive control213Controlled electric drive direct current414Stepper engines415Asynchronous electric drive with frequency regulation516Classic PID controller and its partial cases217About the feature real PID controllers218The most common modifications of PID controllers219PID controller tuning methods220Fundamentals of Fuzzy Motion Control Systems321System basics control based movement artificial neural networks4 Topic of laboratory (practical, seminars) classes !Topic Hours1.Analog comparator32.Microcontroller I /O ports33.SPI interface34.Strain gauges35.Magnetic encoders36.Temperature sensors37.Operational amplifiers38.Analog-to-digital converter39.Software implementation of changing the ADC bit310.Digital-to-analog converters311.Electric servo drive312.Controlling a DC brushless motor313.Stepper motor control314.Asynchronous electric drive with frequency regulation615.Setting PID controller coefficients using the PID Tuner web application Controller316.Setting PID controller coefficients using the Wolfram web application Cloud417.Research of fuzzy speed controller of agricultural machinery418.Development of a neurocontrollerfor the movement of agricultural machinery219.Training an artificial neural network using the Wolfram web application Cloud2 Topics of self-study !Topic Hours1Types of optical encoders , and their connection and signal processing schemes102Practical implications of the Kotelnikov-Nyquist-Shannon theorem103Drivers to the fatal engines54Sensor-microcontroller UART interfaces55And I found it. applied areas of application fuzzy control in industry agricultural machinery156Application of control systems in agricultural machinery based on artificial neural networks15 6. Methods of assessing expected learning outcomes: When teaching this discipline, the following diagnostic tools are used: oral interview; exam; module tests; defense of laboratory work. 7. Teaching methods: When teaching this discipline, the following methods are used: problem-based learning method; practice-oriented learning method; research-based learning method; educational discussions and debates method; teamwork and brainstorming method. Results assessment The knowledge of a higher education applicant is assessed on a 100-point scale, which is translated into a national assessment in accordance with the current "Regulations on Examinations and Tests at the Vlog of Ukraine". Distribution of points by types of educational activities Type of training activitiesResults teachingEvaluation1 semesterModule 1. Microcontrollers in mechatronic systemsLaboratory work 1ELO 5. Know the general structure of a microcontroller and be able to configure it20Laboratory work 2ELO 5, 8. Be able to configure input/output ports of microcontrollers20Laboratory work 3ELO 5, 8. Know the features of sensor-microcontroller interfaces (SPI, UART, I2C). Be able to configure data transmission.20Self-study work 110Module test 1-30Total by module 1-100Module 2. DAC and ADC in mechatronic systemsLaboratory work 4ELO 5, 8. Know the advantages of discrete data representation and be able to calculate the bit depth of an ADC20Laboratory work 5ELO 5. Know the general characteristics of ADCs and be able to select the necessary ADCs20Laboratory work 6ELO 5, 8. Know the general characteristics of DACs and be able to select the necessary DACs20Self-study work 2ELO 8. Know how to adjust the data collection frequency10Module test 2-30Total by module 2-100Module 3. Sensors of mechatronic systemsLaboratory work 7ELO 5, 8. Know the principles of operation and be able to select sensors of mechanical quantities15Self-study work 310Laboratory work 8ELO 5. Know the principles of operation and be able to select electromagnetic sensors quantities15Laboratory work 9ELO 5, 8. Know the principles of operation and be able to select sensors for hydraulic and thermal values15Laboratory work 10ELO 5, 8. Know the principles of operation and be able to perform operational amplifier settings15Module test 3 -30Total by module 3-100Module 4. Drives of mechatronic systemsLaboratory work 11ELO 5. Know the requirements for drives and the quality indicators of drive regulation15Laboratory work 12ELO 5, 8. Know the types of controlled electric drives in DC and be able to build control systems for this drive15Laboratory work 13ELO 5. Know the structure and principle of action of steps engines and be able to perform construction of control systems for this drive15Self-study work 4ELO 8. Know the structure and principle of operation of asynchronous electric drive with frequency regulation and be able to perform construction of control systems for this drive 10Laboratory work 1415Module test 4-30Total by module 4-100Class work-(M1+M2+M3+M4)/4*0.7 d"70Test-30Total for 1 semester-(Class work+exam )d"1002nd semesterModule 5. PID controllers in agricultural machinery motion control systemsSelf-study work 5ELO 5, 8. Know the principle of operation of the PID controller and its partial cases30Laboratory work 15ELO 5, 8. Be able to configure a PID controller for various control objects20Laboratory work 1620Module test 5 -30Total by 5-100Module 6. Fundamentals of intelligent control systems of agricultural machinery movementLaboratory work 17ELO 5. Know the structure and be able to develop fuzzy control systems20Laboratory work 18ELO 8. 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lapytw-TE EEE EXOCC $$Ifa$gdw- $Ifgdw-kdܩ$$IfTl4F) -' `a t06    44 lapytw-T E!EFFFXOCC $$Ifa$gdw- $Ifgdkd$$IfTl4F) -' a t06    44 lapytw-TFF4F8F@FZQEE $$Ifa$gdw- $Ifgdw-kdb$$IfTlF) -' a t06    44 lapytw-T@FBFFZN $$Ifa$gdkd$$IfTlF) -' a t06    44 lapytw-TVFnFtFFFFFFFG&GGGGGH،ڌ02TV μμ𱤗{p{pdhhI5mH sH hhmH sH hhCJmH sH huh(nCJmH sH UhuhuCJmH sH huhCJmH sH huhmH sH "huh56CJPJmH sH "huh56CJPJmH sH huh56CJmH sH huh56CJmH sH #FFGGGuu $$Ifa$gdw- $Ifgdw-ukdج$$IfTl-'' t0644 lap ytw-TGGGZQEE $$Ifa$gdw- $Ifgdw-kdc$$IfTlF) -' a t06    44 lapytw-Tcture and be able to develop control systems based on artificial neural networks10Laboratory work 1910Self-study work 630Module test 6 -30Total by 6-100Class work-(M1+M2)/2*0.7 d"70Exam-30Total for 2 semesters-(Class work+exam)d"100 8.2 Scale for assessing student s knowledge Student s rating, pointsNational grading (exam/credits)90-100excellent74-89good60-73satisfactory0-59unsatisfactory 8.3 Assessment policy Deadlines and exam retaking rules works that are submitted late without valid reasons will be assessed with a lower grade. Module tests may be retaken with the permission of the lecturer if there are valid reasons (e.g. a sick leave). Academic integrity rulescheating during tests and exams is prohibited (including using mobile devices). Term papers and essays must have correct references to the literature usedAttendance rulesattendance is compulsory. For good reasons (e.g. illness, international internship), training can take place individually (online by the faculty deans consent) Teaching and learning aids Mechatronics: a textbook / V.S. Loveykin, Yu.O. Romasevich, V.V. Krushelnytskyi. - K.: CP "Comprint", 2020. - 404 p; abstracts of lectures and their presentations (in electronic form); methodical materials on the study of the academic discipline for students of higher education full-time and part-time forms of higher education. 10. Recommended sources of information Mechatronics [Electronic resource] - Resource access mode:  HYPERLINK "https://uk.Wikipedia.org/wiki/Mechatronics" https://uk.Wikipedia.org/wiki/Mechatronics Fundamentals of mechatronics: teaching. manual / O.M. Artyukh, O.V. Dudarenko, V.V. Kuzmin et al. Zaporizhzhia: NU "Zaporizhia Polytechnic", 2021. - 372 p. THE MECHATRONICS HANDBOOK. Editor-in-Chief Robert H. Bishop. CRC PRESS. 2002. 1229 p. http://www.sze.hu/~szenasy/Szenzorok%20%E9s%20aktu%E1torok/Szenzakt%2 0nyedekedek/Mechatronics_handbook%5B1%5D.pdf Basics of mechatronics: study guide / S.M. 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Pushkar Electronic text data. Kyiv: KPI named after Igor Sikorskyi, 2020. 137 p. Modern electromechatronic complexes and systems: training. manual / T.P. Pavlenko, V.M. Shavkun, O.S. Kozlova, N.P. Lukashov; Kharkiv. national city university farm named after O. M. Beketova. Kharkiv: XNUMX named after O. M. Beketova, 2019. - 116 p.     PAGE  PAGE 9 ouvwxyz|}~˸$hh^B*]aJmH phsH hhZh]J h]J0JhW:I0JCJmHnHujhtOh]J0JCJUhtOh]J0JCJ z{|}~$ & F);^`;a$gd h]hgdTNB 00P1h:p`. 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