Design and control of the belt-polishing tool system for the blisk finishing process

Cheng, Fan; Xue, Caoyang; Zhang, Lei; Wang, Kejun; Wang, Qian; Gao, Yapeng; Lu, Lei

doi:10.5194/ms-12-237-2021

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…where α 1 and α 2 are two control gains, while z 3 /b 1 represents the compensation for the system (15) nonlinearity.…”

Section: Nonlinear Error-state Feedback Controllermentioning

confidence: 99%

“…The improved fuzzy PID controller is applied to constant-force polishing, utilizing a fuzzylogic strategy to approximate the nonlinearity of the pneumatic system. Moreover, the fuzzy PID strategy, not which does not rely on a model, addresses the issue of model uncertainty [15,16]. An intelligent PID controller, generated through the combination of the Fictitious Reference Iterative Tuning method and the Model-Free Adaptive Control method, avoids the difficulty of obtaining precise models through a data-driven approach [17].…”

Section: Introductionmentioning

confidence: 99%

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Active Disturbance-Rejection Controller (ADRC)-Based Torque Control for a Pneumatic Rotary Actuator with Positional Interference

Wei,

Wu,

Zhou

et al. 2024

Actuators

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The compressibility of air, the uncertainty of dynamic models, and the existence of friction make pneumatic servo systems exhibit strong nonlinearity. Furthermore, the confluence of pneumatic-system nonlinearity and interference from the position system induces oscillations within the system, thereby posing a formidable challenge for achieving precise torque control. This study ensures precise torque control in a pneumatic actuator amid interference from the position system and proposes a novel active disturbance-rejection controller integrated with a Kalman filter. Firstly, in response to the oscillation stemming from the inherent nonlinearity of the pneumatic system and interference from the position system, this paper designs an active disturbance-rejection controller (ADRC) with robust anti-interference capabilities aimed at mitigating system oscillations. Secondly, to address the issue of sensor noise interfering with the ADRC and causing system oscillation, a first-order Kalman filter is designed to provide real-time and more accurate state estimation, effectively reducing oscillations and improving the robustness of the system. Finally, using the Lyapunov stability theory, the effectiveness of both the nonlinear extended observer and the convergence of the nonlinear error-state controller in the ADRC is proven. Experimental results indicate that the proposed controller reduces system oscillations and improves control accuracy.

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“…where α 1 and α 2 are two control gains, while z 3 /b 1 represents the compensation for the system (15) nonlinearity.…”

Section: Nonlinear Error-state Feedback Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Active Disturbance-Rejection Controller (ADRC)-Based Torque Control for a Pneumatic Rotary Actuator with Positional Interference

Wei,

Wu,

Zhou

et al. 2024

Actuators

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show abstract

“…It is difficult to control the contact force between the end-effector and the workpiece. Researchers have conducted a large number of studies on the control of grinding robot manpower, and found that there is a large interaction force between the end-effector and the workpiece during grinding, and that the control accuracy of this force will directly affect the machining accuracy [ 20 , 21 , 22 , 23 ] and the position control of the robot. Therefore, the simultaneous control of position and force is a challenge for grinding operations [ 24 ].…”

Section: Development History Of Grinding Processmentioning

confidence: 99%

Analysis of Current Situation, Demand and Development Trend of Casting Grinding Technology

Liang

Qiao

2022

Micromachines

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Although grinding is essential in the production of castings, the casting grinding process in manufacturing is complicated and there are many difficulties, such as the large amount of noise in the grinding environment, non-structural casting entities, and the inclination in the overall shape–time variation. Even in the face of complex technology and a variety of difficulties, modern casting grinding technology still demands large-batch production, low cost, fast response, thin brittleness, high precision, etc. The grinding process has a long history. This paper focus on its development from a human-operated, mechanical job, to an automatic grinding task based on compliant control theory. However, the methods mentioned above can no longer satisfy the current production need. In recent years, researchers have proposed intelligent grinding methods to meet the needs of modern casting production, and provided various strategies and alternatives to the challenges of machining accuracy, machining efficiency, and surface consistency. The research direction of casting polishing has mainly focused on online robot detection, material removal prediction, constant grinding contact force control, and high-precision matching. Although applications for online detection and constant grinding contact force control exist in industry, there are challenges in material removal prediction and three-dimensional high-precision matching. This paper also compares and analyzes the advantages and disadvantages of different grinding methods, and puts forward some research directions for future work, so as to promote more intelligent and efficient grinding of complex castings in practical application.

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“…Therefore, it is crucial to develop an effective control method for pneumatic systems to achieve precise automatic polishing. Proportion-al-Integral-Derivative (PID) control is a widely employed method in the industrial field due to its simplicity and robustness [5,9]. PID control has been successfully implemented in various polishing applications, such as robotic belt grinding and robotic abrasive flow machining.…”

Section: Introductionmentioning

confidence: 99%

Design of Backstepping Sliding Mode Control for a Polishing Robot Pneumatic System Based on the Extended State Observer

Li,

Ding

2023

Machines

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Due to advantages such as a high power-to-weight ratio, a simple structure, and low cost, pneumatic systems are widely applied in automation. However, precise position control of pneumatic actuators is challenging because of factors such as friction, compressibility, and external disturbances. This paper presents a backstepping sliding mode control (BSMC) strategy based on the extended state observer (ESO) for pneumatic cylinder position tracking. A nonlinear model of the pneumatic system is first established, then system states and disturbances are estimated by an ESO, next the BSMC approach is developed using backstepping method and sliding mode control theory, and the stability of the ESO and controller is analyzed using Lyapunov theory. Finally, simulations and experiments on a pneumatic testbed are performed to compare the effectiveness of the proposed approach with PID control. The results show that the proposed strategy improves tracking accuracy and robustness against disturbances, with a 77.04% reduction in root mean square error (RMSE). This research provides a promising control solution for automated pneumatic polishing robots.

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Design and control of the belt-polishing tool system for the blisk finishing process

Cited by 6 publications

References 16 publications

Active Disturbance-Rejection Controller (ADRC)-Based Torque Control for a Pneumatic Rotary Actuator with Positional Interference

Active Disturbance-Rejection Controller (ADRC)-Based Torque Control for a Pneumatic Rotary Actuator with Positional Interference

Analysis of Current Situation, Demand and Development Trend of Casting Grinding Technology

Design of Backstepping Sliding Mode Control for a Polishing Robot Pneumatic System Based on the Extended State Observer

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