机电一体化
機電一體化
궤전일체화
MECHATRONICS
2014年
10期
29-30,39
,共3页
刘彦荣%刘庆存%丁昕%胡世广
劉彥榮%劉慶存%丁昕%鬍世廣
류언영%류경존%정흔%호세엄
车体强度%神经网络%自适应PID%载荷控制
車體彊度%神經網絡%自適應PID%載荷控製
차체강도%신경망락%자괄응PID%재하공제
car roof strength%neural network%adaptive PID%load control
在车体侧翻事故频发而车体设计不断轻量化的今天，车体强度的检测显得尤为重要。利用神经网络自适应PID控制技术研发了滑动门强度检测系统，对控制方法进行了仿真并对控制系统性能进行了测试。试验证明，该检测系统控制精度较高，响应较快，效果良好，便于推广。
在車體側翻事故頻髮而車體設計不斷輕量化的今天，車體彊度的檢測顯得尤為重要。利用神經網絡自適應PID控製技術研髮瞭滑動門彊度檢測繫統，對控製方法進行瞭倣真併對控製繫統性能進行瞭測試。試驗證明，該檢測繫統控製精度較高，響應較快，效果良好，便于推廣。
재차체측번사고빈발이차체설계불단경양화적금천，차체강도적검측현득우위중요。이용신경망락자괄응PID공제기술연발료활동문강도검측계통，대공제방법진행료방진병대공제계통성능진행료측시。시험증명，해검측계통공제정도교고，향응교쾌，효과량호，편우추엄。
Car rollover accidents occurred frequently and car body designed lighter today, detecting car body strength is particularly important. Based on this, the strength examination system of sliding doors is developmented based on neural network adaptive PID control technology, and the simulation of this control method is completed and the performance of the control system is tested. The experiment proved that the system has a favorable performance of rapid tracking and control precision, and easy to promote.
