Real-Time Iterative Compensation Based Contouring Control Method for Polar Coordinate Motion Systems

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

doi:10.1109/tmech.2022.3141796

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…A real-time novel contouring control for polar coordinate motion systems was proposed by Wang et al [15]. This method uses an iterative compensation to adjust the velocity and orientation of the motion system based on the contour error and curvature information of the desired trajectory.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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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“…Furthermore, they used spatial iterative learning control to compensate for the contour errors and generate numerical control commands to improve the contour accuracy of five-axis CNC machine tools. Wang et al [15] transformed the planar motion in a Cartesian coordinate frame into a polar coordinate frame, defined the polar-radius error, and designed a real-time iterative compensation method to reduce the polar-radius error-equivalent contour error for planar motion control systems. Based on a third-order contour error prediction model, Wang et al [16] proposed an online iterative trajectory pre-compensation control design to improve the contour motion performance of multi-axis motion systems.…”

Section: Introductionmentioning

confidence: 99%

Development of Pitch Cycle-Based Iterative Learning Contour Control for Thread Milling Operations in CNC Machine Tools

Yeh

Jiang

2023

Applied Sciences

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The helical contour motion accuracy of feed drive axes is important for thread milling operations in computer numerical control (CNC) machine tools. However, the motion dynamics and external disturbances significantly affect the contour motion results, while the feed drive axes perform helical motions in thread milling operations. Although existing iterative learning contour control (ILCC) methods can improve contour motion accuracy, the problems of data recording and processing on memory usage and computational burden in control systems, wasted materials, and increased costs in thread manufacturing still limit the practical applications of ILCC. Therefore, considering the similar motion dynamics and external disturbances of the feed drive axes during the pitch cycle motions of a helical path, this study developed a pitch cycle-based iterative learning contour control (PCB-ILCC) method to address the control system and thread manufacturing problems caused by the use of ILCC. For PCB-ILCC, this study adopted contour error vector estimation by referring to the interpolated positions on the pitch cycle of the helical path to simplify the computational complexity and designed the ILCC using the cycle learning method to easily implement the ILCC structure. Thus, this study developed a permanent magnet synchronous motor (PMSM) driving control utilizing the robust control method to mitigate the problems of motion dynamics and external disturbances on the feed drive axes. Thread milling experiments performed on a five-axis CNC machining center demonstrated the feasibility of the PCB-ILCC and validated that it can significantly improve the helical contour motion accuracy of the feed drive axes and achieve an 80% contour error reduction rate in comparison with the proportional–proportional–integral control, which is extensively used in commercialized PMSM drivers and CNC controllers.

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Accurate Contour Error Estimation-based robust contour control for dual-linear-motor-driven gantry stages

Kang,

Lin,

Liu

et al. 2024

Mechatronics

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Real-Time Iterative Compensation Based Contouring Control Method for Polar Coordinate Motion Systems

Cited by 6 publications

References 35 publications

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

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

Development of Pitch Cycle-Based Iterative Learning Contour Control for Thread Milling Operations in CNC Machine Tools

Accurate Contour Error Estimation-based robust contour control for dual-linear-motor-driven gantry stages

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