ZHU Jing1, ZHAO Jiajun2, WANG Wei2, ZHANG Shurong2, ZHANG Qi2, CHEN Haiwei1, SHAO Shuangquan3
Journal of Vibration and Shock. 2026, 45(6): 134-140.
Dynamic trajectory serves as a critical basis for evaluating transient and steady-state responses of a drum-type washing machine. Due to the hollow structure of the drum and the coupling of translational and rotational motions, dynamic trajectory of the drum's geometric axis is hard to be measured directly. For addressing this issue, a dynamic trajectory measurement method based on multi-sensor fusion technology is proposed. First, considering rigid-body motion characteristics of the drum, constraint governing attitude matrix of the drum and relative vibration displacement between the sensors is established. The attitude angles of the drum are solved using Newton iteration method, and vibration displacement at the front and back geometric center points of the drum are calculated, based on which dynamic trajectory of the drum’s axis is obtained; After this, constraints governing the first/second order derivatives of the drum’s attitude angles and relative vibration velocities/accelerations between the sensors are established. The derivatives of the drum’s attitude angles are solved, and vibration velocity/acceleration of the drum at any position are obtained. Based on the above method, numerical simulations of dynamic characteristics of a specific drum-type washing machine is performed, trajectory parameters of the drum are identified based on fusion of the simulation results at three points, and the effectiveness of the method is validated by comparing results from identification and those from simulation. At last, an experimental platform is made, dynamic position and attitude parameters of the drum are identified through fusion of vibration data from three sensors, in the meanwhile, data from the fourth sensor is employed for verification, and the effectiveness of the method is confirmed by comparing trajectory measured directly with that identified at the fourth sensor.