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Identification and Modeling of Automotive Electrical Parking Brake System for SiL Simulation
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作者 彭忆强 黎薇 张津蕾 《Journal of Southwest Jiaotong University(English Edition)》 2008年第4期380-385,共6页
To evaluate the software behavior of the electronic control unit (ECU) of automotive electrical parking brake (EPB), a software- in-the-loop (SiL) simulation system is built. The EPB is simulated by ARX (auto-r... To evaluate the software behavior of the electronic control unit (ECU) of automotive electrical parking brake (EPB), a software- in-the-loop (SiL) simulation system is built. The EPB is simulated by ARX (auto-regressive with auxiliary input) model, ARMAX (auto-regressive moving average with auxiliary input) model, and NNARMAX (neural network ARMAX) model. By system identification, the ARX(3,4,2), ARX(4,4,2), ARMAX(3,3,1,1), and ARMAX(4,4,3,2) models are derived. Validation results show that the four-order ARMAX model and the NNARMAX model better simulate the actuator of the EPB. 展开更多
关键词 Automotive electrical parking brake ARX model ARMAX model system identification Artificial neural network Software-in-the-loop simulation
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