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' R X Y 0 Қ H( x % % + % % % % % ) % % % Қ % % % % % % % % % % % % % ` m : NATIONAL UNIVERSITY OF LIFE AND ENVIRONMENTAL SCIENCES OF UKRAINE
Machines and equipment design department
APPROVED
by the dean of the faculty of Design and Engineering
__________ Zinoviy RUZHYLO
___ __________ 2025APPROVED
at the machines and equipment design department meeting
Minutes !_ _ _ _ _ _ _ _ _ _ 2 0 2 5
T h e h e a d o f t h e d e p a r t m e n t _ _ _ _ _ _ _ _ _ _ _ V i a t c h e s l a v L O V E I K I N
R E V I E W E D
G u a r a n t o r o f t h e A P M a c h i n e s a n d e q u i p m e n t o f a g r i c u l t u r a l p r o d u c t i o n
_ _ _ _ _ _ _ _ _ _ _ _ M y k o l a K O ROBKO
CURRICULUM OF ACADEMIC DISCIPLINE
MECHATRONICS
(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 professional
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 . .
K y i v 2 0 2 5
N A T I O N A L U N I V E R S I T Y O F L I F E A N D E N V I R O N M E N T A L S C I E N C E S O F U K R A I N E
M a c h i n e s a n d e q u i p m e n t d e s i g n d e p a r t m e n t
A P P R O V E D
F a c u l t y o f d e s i g n a n d e n g i n e e r i n g
1 0 J u n e 2 0 2 5
CURRICULUM OF ACADEMIC DISCIPLINE
MECHATRONICS
(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 professional
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 . .
K y i v 2 0 2 5
D e s c r i p t i o n o f t h e d i s c i p l i n e
M E C H A T R O N I C S
( t i t l e )
T h e a i m o f s t u d y i n g t h e d i s c i p l i n e " M e c h a t r o n i c s " i s t o p r o v i d e s t u d e n t s w i t h t h e o r e t i c a l k n o w l e d g e a n d p r a c t i c a l s k i l l s i n t h e i n t e g r a t i o n o f m e c h a n i c a l , e l e c t r o n i c a n d s o f t w are components to create complex and functional mechatronic systems. After successfully studying the discipline "Mechatronics", students will have the necessary knowledge and skills for the design, production and operation of complex mechatronic systems in various fields, such as production automation, robotics and many others.
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 hours210Number of credits ECTS 7Number 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-study90 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 aim of studying the discipline "Mechatronics" 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. After successfully studying the discipline "Mechatronics", students of the specialty "Industrial Mechanical Engineering" will have the necessary knowledge and skills for the design, production and operation of complex mechatronic systems in various fields, such as production automation, robotics and many others
Competences acquired:
integral competence: The ability to solve complex tasks and problems of industrial mechanical engineering, which involve research and/or innovation and are characterized by uncertainty of conditions and requirements.
general competences (GC):
GC2. Ability to learn and master modern knowledge.
GC7. Ability to identify, pose and solve problems.
GC8. Ability to make informed decisions.
special (professional) competencies (SC):
SC1. Ability to create, improve and apply quantitative mathematical, scientific and technical methods and computer software, apply a systematic approach to solving engineering problems in the field of mechanical engineering, in particular, in conditions of technical uncertainty.
SC6. Ability to evaluate, control and manage the processes of design, manufacturing, testing, repair of agricultural production machinery and equipment.
Expected learning outcomes (ELO):
ELO01. Knowledge and understanding of the principles of technological, fundamental and engineering sciences that underlie industrial mechanical engineering and, in particular, agricultural mechanical engineering.
ELO04. Perform engineering calculations to solve complex tasks and practical problems in industrial mechanical engineering.
ELO06. Find the necessary scientific and technical information in available sources, in particular, in a foreign language, analyze and evaluate it.
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)2-3213-3-15Total by module 1317-9-15Module 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 Implications6172---15Total by module 2328-9-15Module 3. Sensors of mechatronic systemsTopic 1. Sensors of mechanical quantities6-7235-3-15Topic 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 34215-12-15Module 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 engines13-14224-3-15Topic 4. Asynchronous electric drive with frequency regulation14-15115-6--Total by module 44515-15-15Total for 1 semester-15045-45-60Semester 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. Fundamenta l s o f t h e s y s t e m m a n a g e m e n t o h m b a s e d m o v e m e n t a r t i f i c i a l n e u r a l n e t w o r k s 1 2 - 1 5 8 4 - 4 - 1 5 T o t a l b y m o d u l e 6 3 0 7 - 8 - 1 5 T o t a l f o r 2 s e m e s t e r s 6 0 1 5 - 1 5 - 3 0 T o t a l h o u r s 2 1 0 6 0 - 6 0 - 9 0
3 . T o p i c s o f l e c t u r e s
! T o p i c H o u r s 1 M i c r o c o n t r o l l e r s tructure22Microcontroller 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 sensors59 E l e c t r o m a g n e t i c s e n s o r s 5 1 0 S e n s o r s f o r m e a s u r e m e n t h y d r a u l i c a n d t h e r m a l q u a n t i t i e s 3 1 1 O p e r a t i n g a m p l i f i e r 2 1 2 R e q u i r e m e n t s f o r d r i v e s , q u a l i t y i n d i c a t o r s o f d r i v e c o n t r o l 2 1 3 C o n t r o l l e d e l e c t r i c d r i v e d i r e c t c u r r e n t 4 1 4 S t e p p e r e n g i n e s 4 1 5 Asynchronous 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
! T o p i c H o u r s 1 . A n a l o g c o m p a r a t o r 3 2 . M i c r o c o n t r o l l e r I / O p o r t s 3 3 . S P I i n t e r f a c e 3 4 . S t r a i n g a u g e s 3 5 . M a g n e t i c e n c o d e r s 3 6 . T e m p e r a t u r e s e n s o r s 3 7 . O p e r a t i o n a l a m p l i f i e r s 3 8 . A n a l o g - t o - d i g i t a l c o n v e r t e r 3 9 . S o f t w a r e i m p l e m e n t a t i o n o f 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 o f a g r i c u l t u r a l m a c h i n e r y 2 1 9 . T r a i n i n g a n a r t i f i c i a l n e u r a l n e t w o r k u s i n g t h e W o l f r a m w e b a p p l i c a t i o n C l o u d 2
T o p i c s o f s e l f - s t u d y
! T o p i c H o u r s 1 T y p e s o f o p t i c a l e n c o d e r s , a n d t h e i r c o n n e c t i o n a n d s i g n a l p r o c e s s i n g s c h e m e s 1 5 2 P r a c t i c a l i m p l i c a tions of the Kotelnikov-Nyquist-Shannon theorem153Drivers to the fatal engines154Sensor-microcontroller UART interfaces155And 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 1. Know the general structure of a microcontroller and be able to configure it20Laboratory work 2ELO 4, 6. Be able to configure input/output ports of microcontrollers20Laboratory work 3ELO 1, 6. 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 1, 6. Know the advantages of discrete data representation and be able to calculate the bit depth of an ADC20Laboratory work 5ELO 4. Know the general characteristics of ADCs and be able to select the necessary ADCs20Laboratory work 6ELO 1, 4. Know the general characteristics of DACs and be able to select the necessary DACs20Self-study work 2ELO 6. Know how to adjust the data collection frequency10Module test 2-30Total by module 2-100Module 3. Sensors of mechatronic systemsLaboratory work 7ELO 1, 6. Know the principles of operation and be able to select sensors of mechanical quantities15Self-study work 310Laboratory work 8ELO 4. Know the principles of operation and be able to select electromagnetic sensors quantities15Laboratory work 9ELO 1, 6. Know the principles of operation and be able to select sensors for hydraulic and th e r m a l v a l u e s 1 5 L a b o r a t o r y w o r k 1 0 E L O 1 , 4 . K n o w t h e p r i n c i p l e s o f o p e r a t i o n a n d b e a b l e t o p e r f o r m o p e r a t i o n a l a m p l i f i e r s e t t i n g s 1 5 M o d u l e t e s t 3 - 3 0 T o t a l b y m o d u l e 3 - 1 0 0 M o d u l e 4 . D r i v e s o f m e c h a t r o n i c s y s t e m s L a b o r a t o r y w o r k 1 1 E L O 4 . K n o w the requirements for drives and the quality indicators of drive regulation15Laboratory work 12ELO 1, 4. Know the types of controlled electric drives in DC and be able to build control systems for this drive15Laboratory work 13ELO 6. 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 4. Know the structure and principle of operation of asynchronous electric drive with frequency regulation and be abl e t o p e r f o r m c o n s t r u c t i o n o f c o n t r o l s y s t e m s f o r t h i s d r i v e 1 0 L a b o r a t o r y w o r k 1 4 1 5 M o d u l e t e s t 4 - 3 0 T o t a l b y m o d u l e 4 - 1 0 0 C l a s s w o r k - ( M 1 + M 2 + M 3 + M 4 ) / 4 * 0 . 7 d"7 0 T e s t - 3 0 T o t a l f o r 1 s e m e s t e r - ( C l a s s w o r k + e x a m ) d"1 0 0 2 n d s e m e s t e r M o d u l e 5 . P ID controllers in agricultural machinery motion control systemsSelf-study work 5ELO 4, 6. Know the principle of operation of the PID controller and its partial cases30Laboratory work 15ELO 4, 6. Be able to configure a PID controller for various control objects20Laboratory work 1620Module A B C k o p y }
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S t u d e n t s r a t i n g , p o i n t s N a t i o n a l g r a d i n g
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D e a d l i n e s a n d e x a m r e t a k i n g r u l e s w o r k s t h a t a r e s u b m i t t e d l a t e w i t h o u t v a l i d r e a s o n s w i l l b e a s s e s s e d w i t h a l o w e r g r a d e . M o d u l e t e s t s m a y b e r e t a k e n w i t h t h e p e r m i s s i o n o f t h e l e c t u r e r i f t h e r e a r e v a l i d r e a s o n s ( e . g . a s i c k l e a v e ) . A c a d e m i c i n t e g r i t y r u l e s c h e a t i n g d u r i n g t e s t s a n d e x a m s i s p r o h i b i t e d ( i n c l u d i n g u s i n g m o b i l e d e v i c e s ) . T e r m p a p e r s a n d e s s a y s m u s t h a v e c o r r e c t r e f e r e n c e s t o t h e l i t e r a t u r e u s e d A t t e n d a n c e r u l e s a t t e n d a n c e i s c o m p u l s o r y . F o r g o o d r e a s o n s ( e . g . i l l n e s s , i n t e r n a t i o n a l i n t e r n s h i p ) , t r a i n i n g c a n t a k e p l a c e i n d i v i d u a l l y ( o n l i n e b y t h e f a c u l t y d e a n s c o n s e n t )
T e a c h i n g a n d l e a r n i n g a i d s
M e c h a t r o n i c s : a t e x t b o o k / V . S . L o v e y k i n , Y u . O . R o m a s e v i c h , V . V . K r u s h e l n y t s k y i . - K . : C P " C o m p r i n t " , 2 0 2 0 . - 4 0 4 p ;
a b s t r a c t s o f l e c t u r e s a n d t h e i r p r e s e n t a t i o n s ( i n e l e c t r o n i c f o r m ) ;
m e t h o d i c a l m a t e r i a l s o n t h e s t u d y o f t h e a c a d e m i c d i s c i p l i n e f o r s t u d e n t s o f h i g h e r e d u c a t i o n f u l l - t i m e a n d p a r t - t i m e f o r m s o f h i g h e r e d u c a t i o n .
1 0 . R e c o m m e n d e d s o u r c e s o f i n f o r m a t i o n
M e c h a t r o n i c s [ E l e c t r o n i c r e s o u r c e ] - R e s o u r c e a c c e s s m o d e : H Y P E R L I N K " h t t p s : / / u k . W i k i p e d i a . o r g / w i k i / M e c h a t r o n i c s " h t t p s : / / u k . W i k i p e d i a . o r g / w i k i / M e c h a t r o n i c s
F u n d a m e n t a l s o f m e c h a t r o n i c s : t e a c h i n g . m a n u a l / O . M . A r t y u k h , O . V . D u d a r e n k o , V . V . K u z m i n e t a l . Z a p o r i z h z h i a : N U " Z a p o r i z h i a P o l y t e c h n i c " , 2 0 2 1 . - 3 7 2 p .
T H E M E C H A T R O N I C S H A N D B O O K . E d i t o r - i n - C h i e f R o b e r t H . B i s h o p . C R C P R E S S . 2 0 0 2 . 1 2 2 9 p . h t t p : / / w w w . s z e . h u / ~ s z e n a s y / S z e n z o r o k % 2 0 % E 9 s % 2 0 a k t u % E 1 t o r o k / S z e n z a k t % 2 0 n y e d e k e d e k / M e c h a t r o n i c s _ h a n d b o o k % 5 B 1 % 5 D . p d f
B a s i c s o f m e c h a t r o n i c s : s t u d y g u i d e / S . M . P e r e s a d a , M . V . P u s h k a r E l e c t r o n i c t e x t d a t a . K y i v : K P I n a m e d a f t e r I g o r S i k o r s k y i , 2 0 2 0 . 1 3 7 p .
M o d e r n e l e c t r o m e c h a t r o n i c c o m p l e x e s a n d s y s t e m s : t r a i n i n g m a n u a l / T . P . P a v l e n k o , V . M . S h a v k u n , O . S . K o z l o v a , N . P . L u k a s h o v ; K h a r k i v . n a t i o n a l c i t y u n i v e r s i t y f a r m n a m e d a f t e r O . M . B e k e t o v a . K h a r k i v : X N U M X n a m e d a f t e r O . M . B e k e t o v a , 2 0 1 9 . - 1 1 6 p .
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