Infrared and Laser Engineering, Volume. 51, Issue 8, 20210591(2022)
Self-updating control algorithm and verification of lidar shafting friction torque detection equipment
Figures & Tables(8)
Fig. 4. Measurement result. (a) 10 rpm dynamic friction torque measurement results; (b) 30 rpm dynamic friction torque measurement results; (c) 50 rpm dynamic friction torque measurement results
Fig. 5. Comparison of average overshoot of dynamic friction torque
Table 1. Comparison data sheet of system response curve
View tableView in ArticleTable 1. Comparison data sheet of system response curve
Item Initial stage Interference phase Overshoot Adjust time/s Overshoot Adjust time/s Z-N-PID control algorithm 7.40% 5.968 17.70% 4.588 Self-updating control algorithm 0 7.197 10.40% 8.77
Table 2. Comparison of data fluctuations at collection points
View tableView in ArticleTable 2. Comparison of data fluctuations at collection points
Rotating speed Algorithm Average value/N·m Limit error/N·m Standard deviation 10 rpm Z-N-PID control algorithm 0.005796 0.045 0.009981 Self-updating control algorithm 0.006355 0.042 0.009482 30 rpm Self-updating control algorithm 0.025631 0.049 0.011012 Self-updating control algorithm 0.020903 0.032 0.007471 50 rpm Self-updating control algorithm 0.041192 0.033 0.007800 Self-updating control algorithm 0.041027 0.026 0.004631
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Yuhong Du, Tong Liu, Wei Li, Di Zhao. Self-updating control algorithm and verification of lidar shafting friction torque detection equipment[J]. Infrared and Laser Engineering, 2022, 51(8): 20210591
Paper Information
Category: Phtotoelectric measurement
Received: Aug. 20, 2021
Accepted: --
Published Online: Jan. 9, 2023
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