Modeling Made Easy with Simulink Aldo Caraceto, Application Engineering Group Giuseppe Ridinò, Application Engineering Group

Transcription

1 Modeling Made Easy with Simulink Aldo Caraceto, Application Engineering Group Giuseppe Ridinò, Application Engineering Group 2014 The MathWorks, Inc. 1

2 Modeling Made Easy with Simulink 2

3 Three concepts to combine Complexity Heterogeneity Integrated environment 3

4 Complexity Some typical property of complex systems: Complex systems contain many constituents interacting nonlinearly The constituents of a complex system are interdependent A complex system possesses a structure spanning several scales(hierarchy) A complex system is capable of emerging behavior. Chaos, Complexity, and Entropy A physics talk for non-physicists - Michel Baranger - Professor of Physics, Emeritus Massachusetts Institute of Technology, Cambridge 4

5 Heterogeneity All observation and explanation proceeds on the basis of classification (categorization). Phenomena are grouped into categories according to our perception of their essential similarity (homogeneity) or differences (heterogeneity) Heterogeneity may not be necessary for complexity, but heterogeneity does militate in its favor «(Complex?) Thoughts on Heterogeneity and Complexity; Quality and Quantity» Peter Lewin - Clinical Professor, Managerial Economics University of Texas 5

6 Integrated Environment A software platform where different tools coexist: the integration is about the extent to which tools agree 1 The subject of these agreements may include 1 : data format, user-interface conventions, use of common functions, or other aspects of tool construction. The goal of an integrated environment is to provide effective support for an effective software process. «Definitions of Tool Integration for Environments» Ian Thomas, Hewlett-Packard, Brian A. Nejmeh innovative Software Engineering Practices 6

7 Three concepts to combine Complexity Heterogeneity Integrated environment 7

8 Three concepts to combine One way to communicate. Multiple types of representation of different domains 8

9 Example: tracking of a ball in the space 9

10 Hidden(dangerous) temptations... Trends in complexity and heterogeineity of new systems are increasing Designers tend to face them with the same tools used so far, because they are more confident in them......but the best solution may be located outside their «comfort zone» 10

11 How to approach the design 1. Structure the model of the system defining a suitable architecture 11

12 Definine a suitable architecture 12

13 How to approach the design 1. Structure the model of the system defining a suitable architecture 2. For each subsystem of the model select the proper semantic to describe it 13

14 Select the proper semantic to describe subsystems 14

15 How to approach the design 1. Structure the model of the system defining a suitable architecture 2. For each subsystem of the model select the proper semantic to describe it 3. Decide the right level of accuracy fitting with your model 15

16 Balance the level of detail with the accuracy 16

17 How to approach the design 1. Structure the model of the system defining a suitable architecture 2. For each subsystem of the model select the proper semantic to describe it 3. Decide the right level of accuracy fitting with your model... 17

18 Three concepts to combine One way to communicate. Multiple types of representation of different domains 18

19 Results (customer testimonials) Communication improved throughout development Reduced design time Cost of development reduced (less prototype required) System reliability increased Project issues quickly identified 19

20 Metso Develops Controller for Energy-Saving Digital Hydraulic System for Papermaking Equipment Using Model-Based Design Challenge Precisely control the speed, position, and pressure of calender rolls in paper finishing equipment Solution Simulate, prototype, and implement advanced controls for a digital hydraulic system using Model-Based Design Results Months of design time saved Weeks of customer startup time eliminated System reliability increased Metso s papermaking equipment. The machine s calender is controlled by a digital hydraulic system. Using Model-Based Design with MATLAB and Simulink, we achieved multiple goals simultaneously. We developed a sophisticated controller for digital hydraulics that is more reliable, accurate, and efficient than previous systems, and we accelerated development, which gives us a competitive advantage. Kari Leminen Metso 20

21 BPG Motors Models and Simulates Mechanical Systems for a Transforming Dicycle Challenge Test and tune complex controllers for a transforming dicycle without using hardware Solution Use Simulink, Simscape, and SimMechanics to model and simulate the dicycle's mechanical systems Results System behavior thoroughly tested without human risk Control algorithm dead spots and other issues quickly identified Models reused, enabling ongoing reliability checks and quality control The Uno III dicycle in motorcycle mode. During real-world tests, things move so fast it is impossible to understand everything that is happening. In simulations, we can use Simulink to freeze time and inspect every aspect of the model... We can then see exactly how to improve the control system. Danaan Metge BPG Motors 21

22 Results summary Quality Competitiveness Productivity Time Issues Costs 22

23 Additional Benefits Overall control of the project dramatically improved! Modeling & Simulation Simulation Performance Readibility Debugging Component modeling Documentation... Automatic Code Generation Readibility/Traceability Portability Quality HIL / RP... 23

24 Questions & Answers?????? 24

25 For more information Contattateci! 25