The invention proposes a high-speed parallel
robot driving
system parameter optimization and
selection method, which belongs to the field of
robot technology and application. According to the method,an inverse kinematic model and an inverse dynamic model of a high-speed parallel
robot are firstly determined, and the time which is taken by the robot to carry out a standard movement is adopted as an index for measuring the
rapidity of the robot; the value range of the index and the value range of robot driving
system equivalent
inertia are set, and a parameterized performance atlas is drawn; the relation between robot
rapidity and different motor powers, instantaneous maximum torques, rated torques, motor inertias and speed
reducer reduction ratios is visually reflected by the performance atlas, and by comparing performance levels capable of being reached by the robot in cooperation with different
servomotor and speed
reducer combinations, an optimal
servomotor and speed
reducer combination is obtained. According to the invention,
trial and error and repetitive
verification are not needed, computational load is reduced, the efficiency of optimization is improved, the optimization and selection of motor and speed reducer parameters are guided by the actual performance of a robot, and the dynamic performance of the robot
system can be effectively improved.