臥式下肢康復(fù)機(jī)器人機(jī)構(gòu)設(shè)計(jì)及優(yōu)化
[Abstract]:Walking is a necessary action for human survival and life. It is an important goal of rehabilitation to improve the gait of stroke patients and reacquire their walking ability. Based on the theory of motor relearning, a new seven-bar hybrid horizontal lower limb rehabilitation robot was designed to meet the needs of early intervention precise gait rehabilitation training for patients with lower extremity paralysis. In this paper, the mechanism design, dimension optimization and robot gait planning are studied. First of all, according to the requirements of gait training during the whole rehabilitation period and the one-joint training of hip joint in the early stage of rehabilitation, the research experiment of gait motion law is designed, and the normal gait data are obtained. A novel two-DOF 7-bar hybrid horizontal lower limb rehabilitation robot is proposed. In this robot, the 4R-P five-bar mechanism is used as the main actuator, and a plane 2R mechanism is connected on the connecting rod to form a hybrid closed-chain mechanism. The single drive of the crank of the mechanism can realize gait training. The training of hip joint can be realized by mixed driving of crank and slider. Secondly, through kinematics analysis, the feasibility of the designed scheme is verified, and the conclusion is drawn: if the foot driven lower limb rehabilitation robot reappears the gait motion law of the lower extremity joint, It is required that the displacement and velocity of ankle joint should be consistent with the data of normal gait, based on the workspace of planar 2R series mechanism and the scale synthesis of four-bar mechanism, the constraint condition of scale synthesis of the designed mechanism is analyzed. With the minimum trajectory error as the optimization objective, an optimization method of four-bar mechanism based on genetic and quasi-Newton hybrid algorithm is proposed to optimize the size of the robot actuator. Finally, aiming at the key technology of robot gait planning, the motor motion law under different training modes is explored; the motion curve of lower extremity joint is obtained by man-machine model analysis; the joint motion data are analyzed. The results show that the designed robot can realize the steady training of hip joint and the training of accurate reappearance of human gait law, which can meet the design requirements.
【學(xué)位授予單位】:合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TP242
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