In this paper, we intend to introduce a concept of power assist system---walking power assist leg (WPAL), which is designed for human power augmentation. WPAL is designed according as Ergonomics and the premise is that the system doesn't affect user walking freely. To make the system work smoothly and provide power assist for user, we proposed a method based on human-robot interaction force to understand the user motion intention, and a control method of pseudo- compliance. We can adjust the coefficient of mass, damp and spring to change power assist supply for user during walking. Correlative experimental result shows the effectiveness of the control method.
The walking power assist leg (WPAL) is designed for normal human power augmentation during walking. WPAL tackles three fundamental problems. First, the architectural design is studied using ergonomics. Second, WPAL must understand the user motion intention. Then, the control algorithm is also investigated. In order to make WPAL work smoothly and provide power assist for user, we proposed a method based on multi-sensor data fusion to understand the user motion intention. And, a control method of pseudo-compliance is also proposed. We can adjust the coefficient of mass, damp and spring to change power assist supply for user during walking. Correlative experimental result shows the effectiveness of the control method.
In this paper, a wearable robot gives assistance or support to human locomotion is proposed, it will be of great value for certain activities or for special groups. As the wearable exoskeleton moves according to human intention, how to acquire human locomotion information accurately and quickly become so significantly. Firstly, we make a dynamic analysis of walking human body and build a correlative dynamic model, then introduces our wearable robot which depends on human-robot interaction force to capture human motion information real-time. Its design is strictly in accordance with dynamic model. We also make a detailed introduction of the acquisition method for mechanical information from lower limbs, detection device and its principle of operation, a LAN(Local Area Network) based on CAN(Controller Area Network) bus used to acquire motion information of human lower limbs is constructed. At last, a series of experiments are carried out, by analysis of experimental data, we can clearly recognize and depict a whole process of human motion, this acquisition method is verified feasible and effective.