Abstract: The present disclosure provides a self-learning collaborative control method for active steering and yaw moment for a motor vehicle, including a first step of constructing fundamental formulas which are stored in a vehicle ECU, and a second step of calculating an active steering angle ?C and a yaw moment Mc on line by the vehicle ECU according to following sub-steps during a driving process of the motor vehicle, and controlling a driving state of the motor vehicle according to ?C and Mc. The second step includes a first sub-step of collecting raw real-time parameter values, a second sub-step of performing calculation by the identifier and the control target reference model, a third sub-step of calculating ?C and Mc. The present disclosure can realize the self-learning collaborative control of active steering and yaw moment without requiring a system control model and correct a driver's steering operation.

Abstract: A device for a low stress triaxial test includes a test platform; a pressure chamber disposed on the test platform; a base disposed on the pressure chamber and fixed to the test platform; a support disposed on the test platform; a servo motor disposed on the support; a loading piston connected to the servo motor and penetrating into the pressure chamber; an axial force sensor disposed on the loading piston; a top cap detachably connected to the loading piston and covering the sample; a first pipeline connected to the base and passing through the test platform to connect with a measurement system; a second pipeline connected to the pressure chamber and passing through the test platform to connect with a confining pressure control system; and a third pipeline connected to the first pipeline and the top cap. The device can ensure the accuracy and authenticity of test results.