Enhanced ADRC Using Tracking Differentiator With Phase Compensation to Strengthen the Ability of Measurement Noise Suppression

Applications such as electric vehicles require high-precision induction motor (IM) controllers. A large amount of measurement noise is introduced during position and speed detection, which seriously affects the tracking and anti-disturbance performance of the controller. To solve this problem, a novel enhanced ADRC framework is proposed in this paper. On the one hand, a novel third-order observer is developed for the enhanced ADRC by embedding an LPF into a phase-locked loop observer (PLLO) so that the motor’s actual speed, filtered speed, and total disturbance can be estimated simultaneously. Meanwhile, the observed actual speed is utilized as the feedback signal to enhance noise suppression while maintaining the original structure’s tracking performance and disturbance rejection ability. On the other hand, to address the inherent phase-lag problem in LPFs, a tracking differentiator with phase compensation (TDPC) is designed, which performs filtering while compensating for the phase lag induced by low-pass filtering through its derivative lead characteristic. Experimental validation on an IM test platform demonstrates significant performance enhancements: the total harmonic distortion represents the noise suppression ability is reduced by more than 68%, and the root mean square error (RMSE) representing the speed fluctuation is reduced by more than 63% at speeds below 30 rpm with rated-load. The phase lag is reduced by at least 80% at the frequency is 5Hz with rated-load. And the transient response improved more than 27%, with the disturbance rejection improved more than 18%.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3619593
Primary Topic
Sensor Technology and Measurement Systems
Type
article
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article

Enhanced ADRC Using Tracking Differentiator With Phase Compensation to Strengthen the Ability of Measurement Noise Suppression

Chunyang Sheng, Yongbao Guo, Xiao Lu, Xuecheng Su et al.
IEEE Transactions on Instrumentation and Measurement
Sensor Technology and Measurement Systems
article

Enhanced ADRC Using Tracking Differentiator With Phase Compensation to Strengthen the Ability of Measurement Noise Suppression

Chunyang Sheng, Yongbao Guo, Xiao Lu, Xuecheng Su, Haixia Wang, Tao Su
article en

Abstract

Applications such as electric vehicles require high-precision induction motor (IM) controllers. A large amount of measurement noise is introduced during position and speed detection, which seriously affects the tracking and anti-disturbance performance of the controller. To solve this problem, a novel enhanced ADRC framework is proposed in this paper. On the one hand, a novel third-order observer is developed for the enhanced ADRC by embedding an LPF into a phase-locked loop observer (PLLO) so that the motor’s actual speed, filtered speed, and total disturbance can be estimated simultaneously. Meanwhile, the observed actual speed is utilized as the feedback signal to enhance noise suppression while maintaining the original structure’s tracking performance and disturbance rejection ability. On the other hand, to address the inherent phase-lag problem in LPFs, a tracking differentiator with phase compensation (TDPC) is designed, which performs filtering while compensating for the phase lag induced by low-pass filtering through its derivative lead characteristic. Experimental validation on an IM test platform demonstrates significant performance enhancements: the total harmonic distortion represents the noise suppression ability is reduced by more than 68%, and the root mean square error (RMSE) representing the speed fluctuation is reduced by more than 63% at speeds below 30 rpm with rated-load. The phase lag is reduced by at least 80% at the frequency is 5Hz with rated-load. And the transient response improved more than 27%, with the disturbance rejection improved more than 18%.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Shandong University of Science and Technology (CN)
Openalex Percentile: Top 67%
Sensor Technology and Measurement Systems
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