MSMS (02PCYQW)
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1 MSMS (02PCYQW) Organization: the course is composed of two parts: the first part is devoted to the Lagrange (LAG) approach the second part is devoted to the Bond-Graph (BG) approach Each part takes approximately 50 hours distributed in 7 weeks. LAG: 29/09/ /11/2016 BG: 13/11/ /01/2016 Instructors: prof. Basilio Bona (LAG) DAUIN prof. Andrea Tonoli (BG) DIMEAS Basilio Bona MSMS - 02PCYQW 1
2 MSMS (02PCYQW) Exam Rules: the exam is written. It is unique, but consists of two parts: LAG part: 1-3 exercises (usually 2); the exam lasts approx. 1h 15m; books and notes CAN be used. Examples will be given during the course. BG part: 1-3 exercises (usually 2); the exam lasts approx. 1h 15m; books and notes CANNOT be used. Examples will be given during the course. The final mark is the arithmetic mean between the two marks. Read the rules here Basilio Bona MSMS - 02PCYQW 2
3 MSMS (02PCYQW) Lessons schedule Mon 13:00 16:00 room 1B Wed 08:30 10:00 room 11T Thu 13:00 16:00 room 1B No Labs during the course Web page for the LAG part Textbook for the LAG part B. Bona Dynamic Modelling of Mechatronic Systems CELID, 2013 Available at CLUT bookstore Basilio Bona MSMS - 02PCYQW 3
4 Other textbooks LAG: Fundamentals of Applied Dynamics J.H. Williams, Jr. Wiley 1996 available at the Electronic Department Library BG: System Dynamics: A Unified Approach D.C. Karnopp, D.L. Margolis, R.C. Rosenberg Wiley Interscience 1990 available at the PoliTo Central Library Basilio Bona MSMS - 02PCYQW 4
5 Motivations Mechatronic systems often consist of a complex interaction of moving structures, controlled by electronic circuits and by software programs. In order to be able to write good algorithms for control or simulation, it is necessary to know how the various mechanical + electrical parts interact. This means that one must be able to produce a consistent mathematical description (= model) of the overall mechanical + electrical system. The scope of MSMS is precisely to teach how to produce mathematical equations modelling the system. Basilio Bona MSMS - 02PCYQW 5
6 Models are useful for Why Modelling is necessary simulation, to predict future behaviour of systems, identification and parameter estimation, to find the numerical values of the unknown system parameters (masses, friction coefficients, elastic modes, etc.) control design, to write control algorithms to improve the system performances. Models can be implemented as Hardware models... very rare Software models... very common (MATLAB language is a popular choice for models description and analysis.) Basilio Bona MSMS - 02PCYQW 6
7 Models = Differential Equations Models are described using the language of physics, i.e., the laws of mechanics and/or electromagnetism. These laws are expressed as differential equations, i.e., they include first and second order time derivatives of some physical quantity. Example: the Newton law of linear motion mxɺɺ = f xɺɺ = This is an equation relating the second order time-derivative of the position x of a body having mass m, with the applied external force f f m Basilio Bona MSMS - 02PCYQW 7
8 What is required To find the correct model equations it is necessary to understand how the motion is mathematically represented in 3D space Motion includes translations and rotations first, it is necessary to describe bodies with reference frames, then it is necessary to describe motion of reference frames and their representations The mathematical tools required are essentially vectors and matrices: vector and matrix analysis is a topic that a student must know in details Basilio Bona MSMS - 02PCYQW 8
9 Necessary prerequisites Physics: concepts related to kinematics and dynamics (forces and torques), and notions of electrical circuits. Vectors: used to represent many physical quantities. Matrices: matrix calculus is used to represent rotations, transformations and other important physical equivalents. Basic MATLAB/SIMULINK: this software environment is not required for the exam, but it is useful for the rest of the Mechatronics curriculum (and will be extensively used in the Robotics course at Semester 2). Basilio Bona MSMS - 02PCYQW 9
10 Topics Lagrange method Reference Frames and Roto-translations Rigid Body Kinematics Rigid Body Dynamics Point Mass and Distributed Mass System Mathematical Formulation Rotation of the reference frame Principal inertia matrix Parallel axes theorem Angular momentum and Euler Equation Virtual Work Principle Lagrange Equations in Mechanical Systems Kinetic energy and co-energy Potential energy Generalized forces in holonomic systems Lagrange equations with holonomic constraints Lagrange equations with non-holonomic constraints Characterization of the Lagrange equations Basilio Bona MSMS - 02PCYQW 10
11 Topics Lagrange method Electrical Systems Dynamics Lagrange method Electromechanical Systems Dynamics Lagrange method State variables and state equations Basilio Bona MSMS - 02PCYQW 11
12 Lagrange function Kinetic (co-)energy Potential energy Scalars Virtual works Vectors Forces Linear Angular Velocities Linear Angular Positions = coordinates Linear Angular Basilio Bona MSMS - 02PCYQW 12
13 Lagrange function Energies Virtual works Velocities Positions Basilio Bona MSMS - 02PCYQW 13
14 Examples Basilio Bona MSMS - 02PCYQW 14
15 Examples Basilio Bona MSMS - 02PCYQW 15
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