Learning objectives
Knowledge and ability to understand:
through the lectures held during the course, the student will acquire the skills necessary to describe the dynamic behaviour of mechanical systems and to understand their modelling and analysis criteria. The student will also learn the principal methodologies of control of dynamic systems through practical applications of interest for mechanical engineering.
Applying knowledge and understanding: through practical exercises, the student will learn how to apply the acquired knowledge in a real design context. The students will be involved, in groups, in a year's project that will allow them to extend and apply, through practical activities, the theoretically acquired knowledge related to dynamics and control stability of mechanical systems.
Making judgments:
the student will be able to understand and critically evaluate the main problems related to modelling and studying the dynamics and control. In particular, the student will be able to choose the appropriate modelling methodology to predict their behaviour and choose the appropriate type of control.
Communication skills:
through the lectures and the year's project, the student will acquire specific vocabulary related to the course. It is expected that, at the end of the course, the student will be able to communicate, in oral and written form, the main contents of the course, e.g. ideas, engineering problems and related solutions. The student will be able to communicate his/her knowledge adequately and to understand and use common tools, such as tables, schemes, and software solutions.
Learning skills:
the student who has attended the course will be able to enhance his/her knowledge through the autonomous consultation of specialized texts, scientific or popular magazines, technical catalogues, etc., to deal with more complicated problems and be prepared for his/her chosen career or further specific training courses in the same field
Prerequisites
There are no mandatory propaedeutics. Basic knowledge of Mechanics and Mathematical Analysis are required.
Course unit content
The course explores and completes some important topic studied during the first year of the Master's Degree, introducing the tools for studying the dynamics and control of mechanical systems.
During the course, the main methodologies for modelling the dynamics of mechanical systems and designing their control are presented. The mathematical, numerical, and software tools to address the problems related to modelling and control are presented through practical applications of interest for mechanical engineering. The exercises use software for numerical calculation and simulation to learn the specific contents of the course.
Full programme
Bibliography
All the PowerPoint presentations and the material presented during the lectures are available in the platform Elly.
In addition to the shared material, the student can find some of the topics presented during the course in the following books:
J. Wilkie, M. Johnson, R. Katebi , Control Engineering – an introductory course, Palgrave, 2002
Firdaus E. Udwadia and Robert E. Kalaba, Analytical Dynamics: A New Approach, Cambridge University Press, 2007
D. J. Inman, 1989, Vibration with control measurement and stability. Prentice-Hall, 1989
S. S. Rao, Mechanical Vibrations, 5th edition, Prentice Hall, 2011
Teaching methods
The course counts 6 CFUs (one CFU, University Credits equals one ECTS credit and represents the student's workload during educational activities to pass the exams), corresponding to 48 hours of lectures. The didactic activities are composed of frontal lessons and exercises. During the frontal lectures, the course topics are presented from the theoretical and modelling point of view. Students will also apply theoretical knowledge to exercises and real case studies.
The slides and notes used to support the lectures will be uploaded to the Elly Platform. To download the slides from Elly, enrolling in the online course is required.
All the shared material is part of the didactic material. For non-attending students, it is important to stay up-to-date on with the course content, information and announcements through the Elly platform, which is the teacher/student tool used for this course. On this platform, day by day, the topics discussed in the lesson are uploaded, providing the students with the contents for the final exam.
Assessment methods and criteria
Learning assessment takes place through an individual or group project and its oral discussion.
The project content is agreed with the teacher at the beginning of the course and consists of a practical problem according to the main contents of the lectures. The project is completed with the delivery of the work (e.g. source code of a program) and a technical report. The project must be delivered one week before the official exam date the student intends to take.
The project is evaluated as follows.
Project development (max 10 points): understanding of the project requirements and objectives, prerequisite analysis, the definition of functionality, performance and constraints; design; realization; integration, test and validation.
Working method (max 10 points): independency, proactivity, creativity; research, analysis, evaluation and selection of different solutions; systematicity and essentiality; communication within the group and with the tutor.
Results (max. 5 points): fulfilment of the original project's objectives.
Documentation (max 5 points): structure; completeness and correctness; style.
The final grade is equal to the sum of obtained points. The achieved points must be confirmed during the oral test, which aims to verify the actual personal contribution of the student.
An exam is considered to be passed successfully if the final grade is equal to or higher than 18/30. In the event of a full grade (30/30), the Examination Board may grant honours (lode) based on the quality of the documentation and the oral presentation.
Other information
2030 agenda goals for sustainable development
