Nonlinearity Compensation and High-Frequency Flexibility Suppression Based RIC Method for Precision Motion Control Systems

Zhou, Ran; Hu, Chuxiong; Wang, Ze; He, Suqing; Zhu, Yu

doi:10.1109/tii.2022.3158944

Cited by 29 publications

(10 citation statements)

References 26 publications

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“…Recently, a novel online method that generates the compensation term for each upcoming sampling time during real-time motion, i.e., RIC, has been proposed and applied to precision motion systems [50], [51]. RIC method can be divided into two parts: prediction model establishment and iterative error compensation.…”

Section: Real-time Iterative Compensationmentioning

confidence: 99%

“…Proof: See Theorem 1 in [50]. Remark 4: The established prediction model ( 30) is derived from linear transfer function of the plant system.…”

Section: Real-time Iterative Compensationmentioning

confidence: 99%

“…Remark 4: The established prediction model ( 30) is derived from linear transfer function of the plant system. To increase the linearity and rigidity of the practical motion system, additional nonlinearity compensation and highfrequency flexibility suppression mechanisms are also required if necessary, which can be referred to [50] for more details.…”

Section: Real-time Iterative Compensationmentioning

confidence: 99%

“…Apart from GRU network, several other prediction tools such as LSTM [46], [47], Gaussian process [48], and NARX [49] have also been utilized for tracking error prediction. Furthermore, in [50], [51], the proposed real-time iterative compensation (RIC) framework based on model prediction can online obtain the desired trajectory compensation term for each sampling time during real-time motion control. The online regulation mechanism enables RIC not only to achieve satisfactory tracking accuracy, but also to possess remarkable disturbance rejection ability.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Study of Performance-Oriented Feedforward Compensation Strategies for Precision Mechatronic Motion Systems

Zhou

Hou

et al. 2022

IEEE Access

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To meet the progressively stringent demands for trajectory tracking performance in precision/ultra-precision industry, multiple advanced feedforward compensation strategies have been reported in recent years. However, there is no fair and comprehensive performance comparison of advantages and drawbacks of various methods under different industrial working conditions. In this paper, a comparative study of several performance-oriented feedforward strategies represented by standard iterative learning control (ILC), cascaded ILC (CILC), gated recurrent units based feedforward compensation (GRU-FFC), and real-time iterative compensation (RIC) has been systematically conducted by theoretical clarification and experimental verification. Various trajectory tracking tasks are accomplished on a precision mechatronic motion stage, and the tracking performances to be examined include (i) tracking accuracy; (ii) extrapolation capability for non-repetitive trajectories; (iii) disturbance rejection ability. Experimental results are sufficiently summarized with the combination of underlying control mechanism analysis, which can provide a comprehensive and reliable selection guidance of feedforward compensation strategies in different practical industrial scenarios.INDEX TERMS Feedforward compensation, gated recurrent units (GRU), iterative learning control (ILC), precision motion control, real-time iterative compensation (RIC), tracking performance.

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Section: Real-time Iterative Compensationmentioning

confidence: 99%

“…Proof: See Theorem 1 in [50]. Remark 4: The established prediction model ( 30) is derived from linear transfer function of the plant system.…”

Section: Real-time Iterative Compensationmentioning

confidence: 99%

Section: Real-time Iterative Compensationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparative Study of Performance-Oriented Feedforward Compensation Strategies for Precision Mechatronic Motion Systems

Zhou

Hou

et al. 2022

IEEE Access

Self Cite

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“…Vibrations of structures subjected to moving loads have been of great interest to researchers due to the damage to structures such as material fatigue and resonance by vibrations subjected to moving loads during the last decades. [1][2][3][4][5] Applications include high-speed milling, vehicle-bridge interaction, drum brakes, and so on. [6][7][8][9][10][11] Ouyang gave a comprehensive review of the dynamics of structures subjected to moving loads and their practical applications.…”

Section: Introductionmentioning

confidence: 99%

Vibration control of a thin rectangular plate subjected to moving masses using an adaptive sliding mode control method

et al. 2023

Intl J Robust & Nonlinear

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This study investigates the vibration control of a plate subjected to moving masses. The plate model reflects the dynamic behavior more accurately than the beam model which is usually used in the existing literature. However, the vibration control of plates subjected to moving masses is also more challenging as more degrees of freedom need to be taken into account. In addition, the measurement of system status and uncertainty problems in practical application is another nodus. In this paper, combining an adaptive sliding‐mode control (ASMC) strategy and a modal coordinate reconstruction (MCR) method, the MCR‐ASMC method is proposed. The MCR method is employed to capture the plate dynamic behavior for feedback to the ASMC. The ASMC strategy realizes vibration control through the adaptive updating of parameters. Numerical results demonstrate the effectiveness of the proposed method and excellent control performance in vibration suppression of moving mass problems.

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Simple adaptive contouring control for feed drive systems using jerk-based augmented output signal

Nyobuya,

Halinga,

Uchiyama

2024

Int J Adv Manuf Technol

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Reducing energy consumption while maintaining high contouring accuracy for industrial machinery is a highly desirable goal. Simple adaptive control (SAC) is a practical technique that can achieve high tracking accuracy and energy saving by adjusting control parameters in real-time to ensure that the system responds as the reference model. Implementation of the SAC technique requires that the "almost strict property real (ASPR)" property is satisfied. The ASPR property guarantees the stability of the controlled system even when adaptive gains are high. This paper proposes simple adaptive contouring control (SACC) using jerk-based augmented output signal for the ASPR property. SACC is designed by following the tangent-contour control scheme while using the SAC technique to enhance the contouring accuracy. Jerk-based augmented output signal ensures that the ASPR property is met and allows the SACC to track accurately the desired contour at high frequency. The proposed contouring approach achieves lower contour error and energy consumption by about 45%, and 3% respectively, as compared to the most common parallel feedforward compensation approach.

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Nonlinearity Compensation and High-Frequency Flexibility Suppression Based RIC Method for Precision Motion Control Systems

Cited by 29 publications

References 26 publications

Comparative Study of Performance-Oriented Feedforward Compensation Strategies for Precision Mechatronic Motion Systems

Comparative Study of Performance-Oriented Feedforward Compensation Strategies for Precision Mechatronic Motion Systems

Vibration control of a thin rectangular plate subjected to moving masses using an adaptive sliding mode control method

Simple adaptive contouring control for feed drive systems using jerk-based augmented output signal

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