Abstract
The paper focuses to bring high-quality innovative products based on automotive power window control system. Currently, market is moving very rapidly and technology drives the use of simulation models and different validation techniques for model design and rapid realization process. A model-based design technique provides higher efficiencies in product development cycle that boost the technocrats to deliver outcome on time and satisfies initial design requirements and their validation. This paper applies the model-based design model and also develops prototype and appropriate code from a model-based development tool code generation automatically. The research paper emphasis on the modeling and validation of obstacle detection and appropriate action on automotive power window and implementation on electronic control unit based automotive power window. The main objective of ECU-based power window system is to make automatic or circuit-based approach to raise up glass door and to lower down the glass door with help of an appropriate driver and passenger switches or the use of appropriate sensors like carbon dioxide sensor, thermocouple, current sensor, and proximity sensor to replace the conventional hand-turned crank handle manual automotive window, and whenever obstacle is detected, power window should lower down by 10 cm. Automatic power window control system consists of power electronic circuit, DC motor, and control algorithm. The control algorithm senses soft obstructions and hard obstructions and accordingly controls speed of DC motor as well as orientation control of DC motor that moves the window glass frame downward of 10 cm when any obstruction is detected. In other way the power window ECU faculties hindrances and with help of calculations it is keeping up information which additionally control the engine development operation in three distinctive memory cushions that are routinely refreshed by the information beats that are identified with DC engine speed control. The whole framework is outlined as a clever control framework by applying number of conditions which results to the development of the power window.
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Kumar, R., Ahuja, N.J., Saxena, M. (2018). Improvement and Approval of Impediment Recognition and Activity for Power Window. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_89
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DOI: https://doi.org/10.1007/978-981-10-5903-2_89
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