Kursplan för |
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| TME165 - Measurement techniques for automotive applications |
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| Kursplanen fastställd 2010-02-24 av programansvarig (eller motsvarande) |
| Ägare: MPAUT |
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7,5 Poäng |
| Betygskala: TH - Fem, Fyra, Tre, Underkänt |
| Utbildningsnivå: Avancerad nivå |
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Huvudområde: Automation och mekatronik, Maskinteknik, Teknisk fysik
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Institution: 42 - TILLÄMPAD MEKANIK
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Undervisningsspråk: Engelska
Max antal deltagare: 40
| Modul |
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Poängfördelning |
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Tentamensdatum |
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Lp1 |
Lp2 |
Lp3 |
Lp4 |
Sommarkurs |
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| 0108 |
Tentamen |
7,5 hp |
Betygskala: TH |
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7,5 hp
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21 Okt 2010 em M, |
Kontakta examinator, |
Kontakta examinator |
I program
MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR - Vehicle Dynamics specialization, Årskurs 2
MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR - Safety specialization, Årskurs 2
Examinator:
Docent
Mathias Lidberg
Kursutvärdering:
http://document.chalmers.se/doc/1645397144
Behörighet:
För kurser inom Chalmers utbildningsprogram gäller samma behörighetskrav som till de(t) program kursen ingår i.
Kursspecifika förkunskaper
Control Theory
Syfte
Measurements of physical events is critical in the automotive industry. Vehicle performance is measured to verify the performance of the vehicle meets design requirements. Similarly, vehicle simulation models need to be compared to measured vehicle data to verify and validate modelling assumptions. Vehicle control systems used in the braking, engine, and safety systems also rely on measurements of vehicle parameters. The course will introduce the functional principles of measurement systems that are common in the automotive industry. The main components of a measurement system - sensors, signal processing, data storage, and data analysis will be introduced and implemented by the students in theoretical and practical exercises.
Lärandemål (efter fullgjord kurs ska studenten kunna)
The student will learn how to: -Describe the most common physical processes used in sensors - Select sensor characteristics appropriate for measurement application - Explain physical requirements for mounting sensors - Comprehend and apply common signal conditioning procedures such as calibration, offset correction, and frequency analysis - Identify sources of error and disturbances in measurement systems - Develop and apply signal treatment techniques to remove undesired signal properties - Simulate the performance of automotive systems using virtual sensors and verify model performance with measured values - Conceive controls systems for automotive applications in vehicle dynamics, safety, and powertrain systems
Innehåll
The course introduces the theoretical (mathematical and physical) concepts of sensors and measurement principles. The student will be introduced to successively more complex measurement systems as issues such as errors, external disturbances, and limitations of measurement systems are introduced. The course will apply known simulation models of vehicle systems which can be used to first verify system performance through measurements. Using these same components, the students will learn how measurement data is used to verify the modelling assumptions. The course will use practical laboratory exercises to build up the resources for full scale measurements of vehicles. One primary application of measurement systems is in the control of vehicle systems. The course will review basic feedback theory and then use the simulation models derived in the course as a platform to introduce measurement/control system interaction. Automotive applications such as anti-lock braking will be used to develop these concepts. Sensor Fundamentals strain gauge, piezoelectric, and capacitive elements calibration, non-linearity, crosstalk Measurement System Components Sensor energization Signal transmission Data Storage Measurement Errors Systematic errors Random Errors Basic frequency analysis techniques Digital filtering Measurement System Design Sensor selection Sampling rate Filter selection Simulation and Control Simulation of process models using virtual sensor inputs and simulated environmental effects Measurements of full scale systems to validate model assumptions Implementation of feedback systems to control system output Practical Exercises Laboratory and Field studies using virtual and physical sensors.
Organisation
The course includes formal lectures, computer laboratories and tutorial sessions.
Litteratur
- Extended lecture notes - Labview 8 Student Edition, Bishop, R.H., National Instruments References - Measurement Systems - Application and Design, Doeblin, E., McGraw-Hill - Sensors and Actuators: Control System Instrumentation, de Silva, C.W., CRC, 2007
Examination
A final written examination will comprise 50% of the course grade. Submitted course assignments will make up the remaining 50% of course grade.