ZUT - Polska Rama Kwalifikacji / Rok 2024/2025 / Wydział Elektryczny / Automatyka i robotyka (S1) / Sylabus przedmiotu

Wydział Elektryczny - Automatyka i robotyka (S1)

Sylabus przedmiotu Control engineering:

Informacje podstawowe

Kierunek studiów	Automatyka i robotyka
Forma studiów	studia stacjonarne	Poziom	pierwszego stopnia
Tytuł zawodowy absolwenta	inżynier
Obszary studiów	charakterystyki PRK, kompetencje inżynierskie PRK
Profil	ogólnoakademicki
Moduł	—
Przedmiot	Control engineering
Specjalność	przedmiot wspólny
Jednostka prowadząca	Katedra Automatyki i Robotyki
Nauczyciel odpowiedzialny	Paweł Dworak <Pawel.Dworak@zut.edu.pl>
Inni nauczyciele
ECTS (planowane)	4,0	ECTS (formy)	4,0
Forma zaliczenia	egzamin	Język	angielski
Blok obieralny	11	Grupa obieralna	1

Formy dydaktyczne

Forma dydaktyczna	KOD	Semestr	Godziny	ECTS	Waga	Zaliczenie
laboratoria	L	5	15	1,0	0,26	zaliczenie
wykłady	W	5	20	2,0	0,44	egzamin
projekty	P	5	15	1,0	0,30	zaliczenie

Wymagania wstępne

KOD	Wymaganie wstępne
W-1	basics of control theory, modeling of dynamic systems, basics of signal theory; basics of industrial measurement

Cele przedmiotu

KOD	Cel modułu/przedmiotu
C-1	To familiarize students with the construction of continuous and digital versions of PID controllers
C-2	To familiarize students with various structures of control systems
C-3	To familiarize students with the clasification of digital control algorithms and the practical aspects of their synthesis
C-4	To familiarize students with the properties of the most important algorithms and digital control
C-5	To familiarize students with the idea and properties of adaptive and robust control systems

Treści programowe z podziałem na formy zajęć

KOD	Treść programowa	Godziny
laboratoria
T-L-1	Continous and digital PID	4
T-L-2	Properties of the cascade control system	2
T-L-3	Properties of the compensation control system	2
T-L-4	Properties of two-state (and three-state) control systems	3
T-L-5	Anti-windup in PID controllers	2
T-L-6	Properties of model following control scheme (MFC)	2
		15
projekty
T-P-1	Presentation of the scope of the project; Projects should cover the following range of issues: • Determining ARIMAX discrete models of a continuous control object with one input and one output and examining their properties in the Matlab/Simulink environment. • Implementation and simulation tests of the properties of the minimum-variation (MV) control algorithm in the Matlab/Simulink environment. • Implementation of the PID control algorithm with an anti-wind up system in a programmable controller. • Research on selected adaptation methods in control systems. • Self-tuning elements of PID controllers.	2
T-P-2	Practical project implementation and consultations	11
T-P-3	Presentation of the project and discussion of the obtained results	2
		15
wykłady
T-W-1	PID controllers, continuous and digital form of PID controller, Anti-windup in PID controllers, Self-tuning of PID controllers	6
T-W-2	Requirements for control systems. Sensitivity of control systems to changes in dynamic object parameters and disturbances. Sensitivity functions for continuous and discrete control systems. Cascade control system. Compensation control scheme. Two-state (and three-state) control system	6
T-W-3	Clasification of digital control algorithms. Methods of synthesizing digital control algorithms – theoretical and practical aspects. Generalized ARIMAX discrete model of continuous SISO control plant	2
T-W-4	Minimum Variance Control (MVC)	2
T-W-5	Adaptation in control systems - adaptation with auxiliary values, indirect, direct. Basics of robust control.	4
		20

Obciążenie pracą studenta - formy aktywności

KOD	Forma aktywności	Godziny
laboratoria
A-L-1	participation in classes	15
A-L-2	preparation of reports from laboratory exercises	8
A-L-3	consultations	2
		25
projekty
A-P-1	participation in classes	15
A-P-2	own work and preparation of a report on the project implementation	8
A-P-3	consultations	2
		25
wykłady
A-W-1	lecture attendance	20
A-W-2	exam	2
A-W-3	self-study	22
A-W-4	preparation for the exam	6
		50

Metody nauczania / narzędzia dydaktyczne

KOD	Metoda nauczania / narzędzie dydaktyczne
M-1	Delivery methods: informative lecture, description, explanation
M-2	Activating methods: didactic discussion
M-3	Practical methods: demonstration, laboratory exercises, simulations, project method

Sposoby oceny

KOD	Sposób oceny
S-1	Ocena formująca: grade given during a series of laboratory classes based on reports
S-2	Ocena podsumowująca: The grade is awarded at the end of the series of laboratory exercises based on partial grades from the submitted reports and the activity and work of individual team members during the exercises.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia się	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Odniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżyniera	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób oceny
AR_1A_C21.2_W01 Student ma uporządkowaną wiedzę w zakresie analizy wymagań, budowy i działania klasycznych układów regulacji liniowymi obiektami dynamicznymi.	AR_1A_W03	—	—	C-1, C-2, C-3, C-4, C-5	T-W-1, T-W-2, T-W-3, T-W-4, T-W-5	M-1, M-2	S-1, S-2

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia się	Odniesienie do efektów kształcenia dla kierunku studiów	Odniesienie do efektów zdefiniowanych dla obszaru kształcenia	Odniesienie do efektów uczenia się prowadzących do uzyskania tytułu zawodowego inżyniera	Cel przedmiotu	Treści programowe	Metody nauczania	Sposób oceny
AR_1A_C21.2_U01 Umie sformułować zadanie sterowania oraz zaprojektować układ sterowania dla typowych obiektów dynamicznych o określonych właściwościach.	AR_1A_U04, AR_1A_U08	—	—	C-1, C-2, C-3, C-4, C-5	T-L-1, T-L-2, T-L-3, T-L-4, T-L-5, T-L-6, T-P-1, T-P-2, T-P-3	M-2, M-3	S-1, S-2

Kryterium oceny - wiedza

Efekt uczenia się	Ocena	Kryterium oceny
AR_1A_C21.2_W01 Student ma uporządkowaną wiedzę w zakresie analizy wymagań, budowy i działania klasycznych układów regulacji liniowymi obiektami dynamicznymi.	2,0	The student does not know the basic features and structure of the regulation systems being the subject of the lecture. Obtained less than 50% of the total number of points on the assessment forms for this effect.
	3,0	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 50-60% of the total points on the assessment forms for this effect.
	3,5	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 61-70% of the total points on the assessment forms for this effect.
	4,0	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 71-80% of the total points on the assessment forms for this effect.
	4,5	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 81-90% of the total points on the assessment forms for this effect.
	5,0	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 91-100% of the total points on the assessment forms for this effect.

Kryterium oceny - umiejętności

Efekt uczenia się	Ocena	Kryterium oceny
AR_1A_C21.2_U01 Umie sformułować zadanie sterowania oraz zaprojektować układ sterowania dla typowych obiektów dynamicznych o określonych właściwościach.	2,0	The student does not implement the basic regulatory structures discussed during classes. Obtained less than 50% of the total number of points on the assessment forms for this effect.
	3,0	The student correctly implements the basic regulatory structures discussed during classes. He obtained 50-60% of the total points on the assessment forms for this effect.
	3,5	The student correctly implements the basic regulatory structures discussed during classes. He obtained 61-70% of the total points on the assessment forms for this effect.
	4,0	The student correctly implements the basic regulatory structures discussed during classes. He obtained 71-80% of the total points on the assessment forms for this effect.
	4,5	The student correctly implements the basic regulatory structures discussed during classes. He obtained 81-90% of the total points on the assessment forms for this effect.
	5,0	The student correctly implements the basic regulatory structures discussed during classes. He obtained 91-100% of the total points on the assessment forms for this effect.

Literatura podstawowa

G.Goodwin, S.Graebe,M.Salgado, CONTROL SYSTEM DESIGN, 2000

Literatura dodatkowa

W.Findeisen, Technika regulacji automatycznej, PWN, Warszawa, 1969
J.Lisowski, Podstawy automatyki, Uniwersytet Morski w Gdyni, 2022
S.Węgrzyn, Podstawy automatyki, PWN, Warszawa, 1972

Treści programowe - laboratoria

KOD	Treść programowa	Godziny
T-L-1	Continous and digital PID	4
T-L-2	Properties of the cascade control system	2
T-L-3	Properties of the compensation control system	2
T-L-4	Properties of two-state (and three-state) control systems	3
T-L-5	Anti-windup in PID controllers	2
T-L-6	Properties of model following control scheme (MFC)	2
		15

Treści programowe - projekty

KOD	Treść programowa	Godziny
T-P-1	Presentation of the scope of the project; Projects should cover the following range of issues: • Determining ARIMAX discrete models of a continuous control object with one input and one output and examining their properties in the Matlab/Simulink environment. • Implementation and simulation tests of the properties of the minimum-variation (MV) control algorithm in the Matlab/Simulink environment. • Implementation of the PID control algorithm with an anti-wind up system in a programmable controller. • Research on selected adaptation methods in control systems. • Self-tuning elements of PID controllers.	2
T-P-2	Practical project implementation and consultations	11
T-P-3	Presentation of the project and discussion of the obtained results	2
		15

Treści programowe - wykłady

KOD	Treść programowa	Godziny
T-W-1	PID controllers, continuous and digital form of PID controller, Anti-windup in PID controllers, Self-tuning of PID controllers	6
T-W-2	Requirements for control systems. Sensitivity of control systems to changes in dynamic object parameters and disturbances. Sensitivity functions for continuous and discrete control systems. Cascade control system. Compensation control scheme. Two-state (and three-state) control system	6
T-W-3	Clasification of digital control algorithms. Methods of synthesizing digital control algorithms – theoretical and practical aspects. Generalized ARIMAX discrete model of continuous SISO control plant	2
T-W-4	Minimum Variance Control (MVC)	2
T-W-5	Adaptation in control systems - adaptation with auxiliary values, indirect, direct. Basics of robust control.	4
		20

Formy aktywności - laboratoria

KOD	Forma aktywności	Godziny
A-L-1	participation in classes	15
A-L-2	preparation of reports from laboratory exercises	8
A-L-3	consultations	2
		25

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - projekty

KOD	Forma aktywności	Godziny
A-P-1	participation in classes	15
A-P-2	own work and preparation of a report on the project implementation	8
A-P-3	consultations	2
		25

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KOD	Forma aktywności	Godziny
A-W-1	lecture attendance	20
A-W-2	exam	2
A-W-3	self-study	22
A-W-4	preparation for the exam	6
		50

(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	AR_1A_C21.2_W01	Student ma uporządkowaną wiedzę w zakresie analizy wymagań, budowy i działania klasycznych układów regulacji liniowymi obiektami dynamicznymi.
Odniesienie do efektów kształcenia dla kierunku studiów	AR_1A_W03	Ma zaawansowaną, uporządkowaną i podbudowaną teoretycznie wiedzę ogólną obejmującą kluczowe zagadnienia z obszaru automatyki oraz robotyki.
Cel przedmiotu	C-1	To familiarize students with the construction of continuous and digital versions of PID controllers
	C-2	To familiarize students with various structures of control systems
	C-3	To familiarize students with the clasification of digital control algorithms and the practical aspects of their synthesis
	C-4	To familiarize students with the properties of the most important algorithms and digital control
	C-5	To familiarize students with the idea and properties of adaptive and robust control systems
Treści programowe	T-W-1	PID controllers, continuous and digital form of PID controller, Anti-windup in PID controllers, Self-tuning of PID controllers
	T-W-2	Requirements for control systems. Sensitivity of control systems to changes in dynamic object parameters and disturbances. Sensitivity functions for continuous and discrete control systems. Cascade control system. Compensation control scheme. Two-state (and three-state) control system
	T-W-3	Clasification of digital control algorithms. Methods of synthesizing digital control algorithms – theoretical and practical aspects. Generalized ARIMAX discrete model of continuous SISO control plant
	T-W-4	Minimum Variance Control (MVC)
	T-W-5	Adaptation in control systems - adaptation with auxiliary values, indirect, direct. Basics of robust control.
Metody nauczania	M-1	Delivery methods: informative lecture, description, explanation
Metody nauczania	M-2	Activating methods: didactic discussion
Sposób oceny	S-1	Ocena formująca: grade given during a series of laboratory classes based on reports
Sposób oceny	S-2	Ocena podsumowująca: The grade is awarded at the end of the series of laboratory exercises based on partial grades from the submitted reports and the activity and work of individual team members during the exercises.
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student does not know the basic features and structure of the regulation systems being the subject of the lecture. Obtained less than 50% of the total number of points on the assessment forms for this effect.
	3,0	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 50-60% of the total points on the assessment forms for this effect.
	3,5	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 61-70% of the total points on the assessment forms for this effect.
	4,0	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 71-80% of the total points on the assessment forms for this effect.
	4,5	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 81-90% of the total points on the assessment forms for this effect.
	5,0	The student knows the basic features and structures of control systems that are the subject of the lecture. He obtained 91-100% of the total points on the assessment forms for this effect.

Pole	KOD	Znaczenie kodu
Zamierzone efekty uczenia się	AR_1A_C21.2_U01	Umie sformułować zadanie sterowania oraz zaprojektować układ sterowania dla typowych obiektów dynamicznych o określonych właściwościach.
Odniesienie do efektów kształcenia dla kierunku studiów	AR_1A_U04	Potrafi identyfikować związki i zależności w procesach zachodzących w systemach rzeczywistych i na tej podstawie tworzyć modele komputerowe i przeprowadzać ich symulacje, w szczególności dotyczące zagadnień automatyki oraz robotyki.
Odniesienie do efektów kształcenia dla kierunku studiów	AR_1A_U08	Potrafi rozwiązywać zadania i problemy występujące w obszarze automatyzacji oraz robotyzacji z wykorzystaniem metod i narzędzi inżynierskich w szczególności stosując techniki analityczne lub symulacyjne.
Cel przedmiotu	C-1	To familiarize students with the construction of continuous and digital versions of PID controllers
	C-2	To familiarize students with various structures of control systems
	C-3	To familiarize students with the clasification of digital control algorithms and the practical aspects of their synthesis
	C-4	To familiarize students with the properties of the most important algorithms and digital control
	C-5	To familiarize students with the idea and properties of adaptive and robust control systems
Treści programowe	T-L-1	Continous and digital PID
	T-L-2	Properties of the cascade control system
	T-L-3	Properties of the compensation control system
	T-L-4	Properties of two-state (and three-state) control systems
	T-L-5	Anti-windup in PID controllers
	T-L-6	Properties of model following control scheme (MFC)
	T-P-1	Presentation of the scope of the project; Projects should cover the following range of issues: • Determining ARIMAX discrete models of a continuous control object with one input and one output and examining their properties in the Matlab/Simulink environment. • Implementation and simulation tests of the properties of the minimum-variation (MV) control algorithm in the Matlab/Simulink environment. • Implementation of the PID control algorithm with an anti-wind up system in a programmable controller. • Research on selected adaptation methods in control systems. • Self-tuning elements of PID controllers.
	T-P-2	Practical project implementation and consultations
	T-P-3	Presentation of the project and discussion of the obtained results
Metody nauczania	M-2	Activating methods: didactic discussion
Metody nauczania	M-3	Practical methods: demonstration, laboratory exercises, simulations, project method
Sposób oceny	S-1	Ocena formująca: grade given during a series of laboratory classes based on reports
Sposób oceny	S-2	Ocena podsumowująca: The grade is awarded at the end of the series of laboratory exercises based on partial grades from the submitted reports and the activity and work of individual team members during the exercises.
Kryteria oceny	Ocena	Kryterium oceny
	2,0	The student does not implement the basic regulatory structures discussed during classes. Obtained less than 50% of the total number of points on the assessment forms for this effect.
	3,0	The student correctly implements the basic regulatory structures discussed during classes. He obtained 50-60% of the total points on the assessment forms for this effect.
	3,5	The student correctly implements the basic regulatory structures discussed during classes. He obtained 61-70% of the total points on the assessment forms for this effect.
	4,0	The student correctly implements the basic regulatory structures discussed during classes. He obtained 71-80% of the total points on the assessment forms for this effect.
	4,5	The student correctly implements the basic regulatory structures discussed during classes. He obtained 81-90% of the total points on the assessment forms for this effect.
	5,0	The student correctly implements the basic regulatory structures discussed during classes. He obtained 91-100% of the total points on the assessment forms for this effect.