混合驅(qū)動式多關(guān)節(jié)雙機械臂運動控制研究
[Abstract]:Pneumatic artificial muscle is a new type of stretching pneumatic actuator with light weight, large ratio of output force to diameter, good flexibility and similar to biological muscle. It has shown a good application prospect in bionics, rehabilitation and other technical fields. In this paper, based on robotics and modern bionics, and imitating the structure of human upper limb, a kind of multi-joint double manipulator driven by pneumatic artificial muscle and stepping motor is designed, which can be used to explore the application of pneumatic artificial muscle in bionic robot. In this paper, the mechanism design, kinematics and dynamics modeling, hardware and software design of control system, system modeling and simulation, and the research and analysis of motion control experiment are completed. At first, the mechanism design of humanoid multi-joint double manipulator is completed, which mimics the human arm. The pneumatic artificial muscle is used to drive the shoulder and elbow joints of the manipulator and the stepper motor to drive the auxiliary motion joints. The designed arm has both flexibility and compactness in structure. At the same time, the kinematics and dynamics modeling of the multi-joint dual-manipulator structure is completed according to robotics, including the complete forward and inverse solutions of the pose equation, the velocity Jacobian matrix and the dynamic equation. Then, on the basis of previous studies, combined with the dynamics equation of multi-joint and dual-manipulator, the system model was built by Matlab/Simulink tool. On this basis, the control effect of conventional PID and fuzzy adaptive tuning PID on shoulder joint is studied and compared, and the simulation analysis of two control strategies is completed. The simulation results show that the fuzzy adaptive tuning PID can effectively suppress the angle deviation of joints and improve the response speed and system stability. Finally, the software and hardware development of the whole prototype is completed, and the motion control experiment is carried out on the basis of the prototype. Through experiments, the control effects of conventional PID and fuzzy adaptive tuning PID are analyzed and compared. It is proved by experiments that each joint has better positioning accuracy and response speed under fuzzy adaptive tuning PID control when multi-joint dual manipulator moves in serial parallel and coordinated motion. The experimental research in this paper provides a practical reference for the further research of bionic robot.
【學位授予單位】:上海交通大學
【學位級別】:碩士
【學位授予年份】:2011
【分類號】:TH138.5
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