Flexible power line maintenance robot position and posture control method under action of wind load
A control method and robot technology, applied in the direction of program control manipulators, manipulators, manufacturing tools, etc., can solve problems such as difficulty in adapting to the impact of high-voltage transmission lines operating environment, and achieve the effects of saving system hardware consumption, reducing costs, and strong versatility
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[0018] The basic structure of the robot neural network closed-loop control system is as follows: Figure 5 As shown, in order to realize the precise pose control of the robot, it is necessary to compensate the influence of the uncertainty and disturbance in the specific environment on the motion control of the robot in real time. The neural network has strong nonlinear approximation characteristics, so this paper can realize the actual The mapping relationship between robot pose compensation joint control variables and robot environmental parameters in the working environment adopts a standard three-layer network structure. Since the main influencing factors in a specific environment are flexible wires, wind loads, and strong electromagnetic fields, the input of the BP network Three nodes are selected. Since the output is the joint variable value O of the robot, which is used for the motion positioning control of the double arm, and the dual-operation arm has a total of 7 joint...
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