With the advent of fast processors, real-time process control is becoming an important component of modern automobile industrial products.Normally, heat transfer processes possess large time constants and, as a consequence, temperature sensors are relatively slow. In order to protect against the hostile environment, temperature sensors used in vehicle exhaust systems need additional casing. Due to the casing, the heat transfer from the surface of the casing to the sensor is decreased even further. In order to design a feedback control for the vehicle, accurate information about the temperature inside the exhaust system is required which needs to be estimated from the measured temperature inside the exhaust system. In this paper, we develop a model of the sensor and use a Kalman filter for the prediction of the ambient temperature from the measurements. Further, we validate our results with suitable tests and compare the test results with the simulation results.
It becomes more and more difficult, to develop and maintain complex mechatronical systems. For this purpose, new methods are needed for designing them in an economical way. EasyKit is a new method for hardware-software-codesign, which was developed for this purpose. The main aims were to reach a high flexibility when developing mechatronical systems for limited-lot production and the parallelization of the development of mechanical hardware, electronics and software. In this manuscript the development method of EasyKit will be presented, including the used hardware and software. This method will be compared to the recently used method for the design of mechatronical systems. During the EasyKit project different case studies were done, by controlling several mechatronical systems with EasyKit. One of these case studies, a pump testing system, will be presented. In this case study it will be shown, how a small mechatronical system can be put into operation and how it can be integrated in a larger system environment easily by using the EasyKit system.
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