Abstract: Aalysis of the coal mining under complex conditions, Hydraulic support posture space variable by the coupling effect of driving spatial variables and pose solution of application problems, put forward using BP neural network to build the pose space to nonlinear drive space conversion model, can quickly realize the kinematics calculation, and real-time detection of hydraulic support posture. The experimental results show that the method of pose control stent compared with traditional methods, quickly and accurately, improve work efficiency, theory support for supporting a branch of perception and attitude control with machine control.