Resonance Suppression of a Controllable Mechanism Welding Robot End with Central Composite Design Methodology

Shi, Yuanyuan; Li, Chaopeng; Huang, Yizhe

doi:10.3390/app12136352

Cited by 3 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where y is the response variable, ε is the normal random error, β 0 is the regression intercept, and β i , β ii , and β ij are the regression coefficients. Methods that work well in RSM include Box-Behnken Design (BBC) and Central Composite Design (CCD) methods [37,38]. The CCD method has good portability and orthogonality and has sequential properties.…”

Section: Experimental Scheme Of the Response Surface Design Methodsmentioning

confidence: 99%

Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control

Fang,

Zhu,

Zhang

et al. 2023

Micromachines

View full text Add to dashboard Cite

In order to enhance the automation level and achieve high precision in the ultrasonic strengthening of aviation blade surfaces, this study focuses on investigating the intelligent control strategy and optimizing the machining parameters for robotic ultrasonic surface strengthening. By designing an intelligent compliance control method, the end-effector can achieve the compliant output of contact force. The fuzzy PID control method is used to optimize the regulation performance of the compliant force control system. This compliance control strategy enables the optimization of the compliance device, effectively improving the static and dynamic characteristics of the compliance controller. Based on this, an experimental method (RSM) is designed to analyze the interaction effects of contact force, feed rate, and repetition times on the surface quality of the blade. The optimal combination of robotic strengthening parameters is determined, providing a practical reference for the application of robotic compliance control in the ultrasonic strengthening of aviation blade surfaces.

show abstract

Section: Experimental Scheme Of the Response Surface Design Methodsmentioning

confidence: 99%

Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control

Fang,

Zhu,

Zhang

et al. 2023

Micromachines

View full text Add to dashboard Cite

show abstract

Control of quality defects of the glass fiber injection molded product based on LSO-RF and NSWOA

Wang,

Fan,

Guo

et al. 2024

J Mech Sci Technol

View full text Add to dashboard Cite

Online Mechanical Resonance Frequency Identification Method Based on an Improved Second-Order Generalized Integrator—Frequency-Locked Loop

Wu,

Zhang,

et al. 2024

Electronics

View full text Add to dashboard Cite

To address the issue of mechanical resonance frequency detection in dual-inertia servo systems, this paper proposes an online identification method for mechanical resonance frequency using a low-pass filter and cascaded second-order generalized integrator—frequency-locked loop (LPF-CSOGI-FLL). Initially, the cascaded second-order generalized integrator—frequency-locked loop (CSOGI-FLL) is employed to eliminate the interference of direct current (DC) bias in resonance frequency identification. From a dual-stage structural perspective, the first second-order generalized integrator (SOGI-FLL) acts as a band-pass pre-filter to extract the mechanical resonance signal from the signal to be tested. The second SOGI-FLL generates a signal with equal amplitude and frequency to the mechanical resonance and obtains the frequency of the resonance signal through the frequency-locked loop. Subsequently, a low-pass filter (LPF) is applied to the frequency feedback loop of the second-stage SOGI-FLL, effectively reducing the oscillation of the estimated frequency. Finally, combining the CSOGI-FLL with an LPF forms a novel structure, namely, LPF-CSOGI-FLL. The results demonstrate that the proposed method significantly improves the detection accuracy of mechanical resonance frequency under various conditions. Compared to traditional offline techniques, this method overcomes the impact of resonance frequency drift and enhances system stability.

show abstract

Resonance Suppression of a Controllable Mechanism Welding Robot End with Central Composite Design Methodology

Cited by 3 publications

References 25 publications

Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control

Process Optimization for Robotic Ultrasonic Strengthening of Aviation Blade Surfaces Based on Intelligent Compliance Control

Control of quality defects of the glass fiber injection molded product based on LSO-RF and NSWOA

Online Mechanical Resonance Frequency Identification Method Based on an Improved Second-Order Generalized Integrator—Frequency-Locked Loop

Contact Info

Product

Resources

About