Optimal robust control with cooperative game theory for lower limb exoskeleton robot

Lower-Limb Wearable Exoskeleton

There are numerous causes that can affect the functioning of the human locomotor system, leading to the appearance of joint disorders in the lower limb and generating atypical gait patterns. The importance of research and development in assistance technologies to compensate pathological gait have been recognised since the beginning of the twentieth century and numerous challenges still lie ahea...

Torque Analysis of the Lower Limb Exoskeleton Robot Design

Exoskeleton is a type of wearable robots that can augment the performance of an able-bodied user. There are many studies that use hydraulic actuator to actuate the lower limb exoskeleton which possesses several drawbacks like dirty, noisy and high power consumption. Therefore, electrical actuators that are clean, silent and less power consuming are used in designing the lower limb exoskeleton i...

Control of lower limb exoskeleton with simulated EMG signal

Robust Sliding Mode Control Based on GA Optimization and CMAC Compensation for Lower Limb Exoskeleton

A lower limb assistive exoskeleton is designed to help operators walk or carry payloads. The exoskeleton is required to shadow human motion intent accurately and compliantly to prevent incoordination. If the user's intention is estimated accurately, a precise position control strategy will improve collaboration between the user and the exoskeleton. In this paper, a hybrid position control schem...

combined neural network feedforward and rise feedback control structure for a 5 dof upper-limb exoskeleton robot with asymptotic tracking

control of robotic systems is an interesting subject due to their wide spectrum applications in medicine, aerospace and other industries. this paper proposes a novel continuous control mechanism for tracking problem of a 5-dof upper-limb exoskeleton robot. the proposed method is a combination of a recently developed robust integral of the sign of the error (rise) feedback and neural network (nn...