电动尾门防夹控制系统研究与开发

Research and Development of Anti-pinch Control System for Power Liftgate

针对电动尾门防夹安全需求提出了一种新型防夹算法,该算法结合电机电流和速度进行防夹控制,并分为防夹预判、异常信号识别、防夹力检测3个过程。防夹预判过程主要获取电流和速度参考值;异常信号识别过程主要识别异常波动与降低干扰;防夹力检测过程主要判断防夹力大小。在Matlab/Simulink环境下进行建模和仿真,结果表明该算法在不同电压和负载工况下均有效可靠。将该模型生成C代码集成到电动尾门控制器并在台架上进行防夹测试,结果表明该算法在不同电压和负载工况下防夹力均小于100 N,且不会出现防夹误判。

A new anti-pinch algorithm was proposed for the safety requirement of power liftgate.The algorithm combined the motor current and speed for the anti-pinch control,which was divided into three processes:anti-pinch pre-judgment,abnormal signal identification and anti-pinch force detection.The anti-pinch pre-judgment process mainly got the current and speed reference values,the abnormal signal identification process mainly identified abnormal fluctuations and reduced interference,the anti-pinch force detection process mainly detected the anti-pinch force.The simulation results in Matlab/Simulink show that the algorithm is effective and reliable under different voltages and load conditions.The C source code generated by the model is integrated into the power liftgate controller and the anti-pinch test is implemented on a test bench.The results show that the anti-pinch force of this algorithm is less than 100 N under different voltages and load conditions,and there is no anti-pinch misjudgment.