In order to solve the discomfort brought to the occupants due to the change of mechanism when the stair-climbing wheelchair climbs the stairs,a set of seat mechanism attitude adjustment system is designed.According to the functional requirements of the stair-climbing wheelchair,the mechanical structure of the seat adjustment mechanism is formulated,and the hardware framework of the control system is built.According to the characteristics of the parameters of PID algorithm,the parameters are adjusted with the help of hyperbolic function,and the trained BP neural network is utilized to compensate the output attitude error,and the whole adjustment system is tested.The test results show that the control algorithm can realize the precise control of the seat mechanism.