上肢外骨骼助力機器人研究
[Abstract]:At present, with the increasing of people's work pressure and unhealthy habits in life, the probability of cardiac arrest increases, so it is necessary to carry on the effective CPR first aid to the patients. In this process, there are strict requirements for the frequency and amplitude of compression, but doctors often overdraft physical strength in the process of cardiopulmonary resuscitation, which affects the effect of rescue. In this paper, we design an exoskeleton robot which can help doctors to increase their strength. The robot can drive the coordinated motion of every joint through the motor drive system, transfer the force to the doctor's palm and contact the patient for rescue. This not only enables doctors to better perceive the patient's real-time situation, but also can maintain the whole process of cardiopulmonary resuscitation with sufficient strength to achieve the most effective rescue effect. And it could be used to help disabled people with multiple joints in their upper limbs. The main contents of this paper are as follows: 1. According to the motion characteristics of each joint of human upper limb, the structural scheme of exoskeleton booster robot for cardiopulmonary resuscitation (CPR) is designed in this paper. The driving motor and reducer are selected, and the stress analysis of the key structures is carried out. The safety of the structure was checked. 2. 2. The kinematics model of upper limb booster robot is established, and the forward and inverse kinematics solutions are studied. The workspace of exoskeleton cardiopulmonary resuscitation was obtained by Matlab, and the motion simulation of exoskeleton cardiopulmonary resuscitation was carried out by Adams. The Jacobian matrix of exoskeleton is obtained and the real time linear and angular velocities of exoskeleton robot end actuators are obtained. The dynamic model is established by Lagrange equation method, and the dynamics of exoskeleton is simulated by Adams. The torque changes of each joint are obtained, which provides a better theoretical reference for exoskeleton control. 4. The traditional PID control and fuzzy adaptive PID controller are used to analyze the designed exoskeleton robot. The control model is built and simulated in the Simulink module of Matlab to verify the performance of the fuzzy PID controller. ADAMS and MATLAB are used to simulate the exoskeleton. The variation of the parameters in the pressing process is studied experimentally, and the amplitude and frequency regulation control strategies are designed. The practicability is verified by simulation and experimental comparison.
【學位授予單位】:沈陽航空航天大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TP242
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