Automated Control System of Power Inspection Robot Based on Artificial Intel-ligence Technology
In the actual work,the power inspection robot has the problems of large error in target positioning,low flexibility,and large trajectory control error.Therefore,an automatic control system of the inspection robot is proposed by combining the Elman neural network for visual error correction and motion control through incremental PID.After the systematic error is measured,the system is corrected by the Elman neural network to ensure that the visual error is minimized.At the same time,the data information is transmitted to the central control module,and the motion con-trol is carried out through the incremental PID.After experimental verification,the system can ensure that the actual running trajectory of the power inspection robot is more consistent with the set trajectory,and has accurate and stable obstacle avoidance ability.
incremental PID controlElman neural networksvisual error correctionpower inspectionmotion control
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