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Volume 9 Issue 7
Jul.  2022

IEEE/CAA Journal of Automatica Sinica

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C. X. Hu, R. Zhou, Z. Wang, Y. Zhu, and M. Tomizuka, “Real-time iterative compensation framework for precision mechatronic motion control systems,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 7, pp. 1218–1232, Jul. 2022. doi: 10.1109/JAS.2022.105689
Citation: C. X. Hu, R. Zhou, Z. Wang, Y. Zhu, and M. Tomizuka, “Real-time iterative compensation framework for precision mechatronic motion control systems,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 7, pp. 1218–1232, Jul. 2022. doi: 10.1109/JAS.2022.105689

Real-Time Iterative Compensation Framework for Precision Mechatronic Motion Control Systems

doi: 10.1109/JAS.2022.105689
Funds:  This work was supported in part by the National Nature Science Foundation of China (51922059), in part by the Beijing Natural Science Foundation (JQ19010), and in part by the China Postdoctoral Science Foundation (2021T140371)
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  • With regard to precision/ultra-precision motion systems, it is important to achieve excellent tracking performance for various trajectory tracking tasks even under uncertain external disturbances. In this paper, to overcome the limitation of robustness to trajectory variations and external disturbances in offline feedforward compensation strategies such as iterative learning control (ILC), a novel real-time iterative compensation (RIC) control framework is proposed for precision motion systems without changing the inner closed-loop controller. Specifically, the RIC method can be divided into two parts, i.e., accurate model prediction and real-time iterative compensation. An accurate prediction model considering lumped disturbances is firstly established to predict tracking errors at future sampling times. In light of predicted errors, a feedforward compensation term is developed to modify the following reference trajectory by real-time iterative calculation. Both the prediction and compensation processes are finished in a real-time motion control sampling period. The stability and convergence of the entire control system after real-time iterative compensation is analyzed for different conditions. Various simulation results consistently demonstrate that the proposed RIC framework possesses satisfactory dynamic regulation capability, which contributes to high tracking accuracy comparable to ILC or even better and strong robustness.

     

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    Highlights

    • A novel RIC framework is proposed for precision mechatronic motion control systems
    • The feedforward trajectory compensation of RIC is developed by accurate predicted tracking errors
    • Both prediction and compensation processes are merely finished in a real-time sampling period
    • RIC can not only achieve remarkable tracking accuracy but also possess strong robustness
    • Compared to current feedforward compensation methods, RIC is simple and efficient to be conducted

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