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RISS 인기검색어
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- 주제어 : Screw motion and linear motion (검색결과 5 건)
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Optimal Tuning of Servo Motor Based Linear Motion System Using Optimization Algorithm
Ramesh H.,Xavier S. Arockia Edwin 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
Linear motion systems with servo drives are employed in high-precision machine tool applications. The PID controller is commonly employed in servo-based linear motion systems to correct positioning inaccuracies caused by thermal expansion of the ball screw assembly and encoder measurement. Diff erent classical and heuristic approaches are used for optimal PID tuning of servo controllers used in linear motion systems. Integral-based or performance-index- based error minimizing functions found in the literature do not meet all of a dynamic system's performance requirements. In this paper, the multiobjective cost function using both the integral time absolute error function and performance index parameters such as rise time, settling time, and peak overshoot is formulated based on the non-dominated solutions of the pareto front obtained using a multi-objective genetic algorithm (MOGA). The proposed objective function is used to tune the PID controller model of a linear motion system using the particle swarm optimization algorithm, the BAT algorithm, the whale optimization algorithm, and the aquila optimizer. The simulation and validation results show that the MOGA-based multi-objective function outperforms standard error minimizing objective functions and classical fractional order PID control algorithms in tuning PID Servo controllers of linear motion systems
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전이 학습을 이용한 선형 이송 로봇의 정렬 이상 진단 시스템
홍수빈,이영대,박아름,문찬우 국제문화기술진흥원 2024 The Journal of the Convergence on Culture Technolo Vol.10 No.3
선형 로봇은 자동화 시스템에서 부품의 이송이나 위치 결정에 널리 사용되며 보통 높은 정밀도가 요구된다. 선형 로봇을 응용한 시스템의 제작회사에서는 로봇의 이상 유무를 작업자가 판단하는데, 작업자의 숙련도에 따라 이상 상태를 판단하는 정확도가 달라진다. 최근에는 인공지능 등의 기술을 사용하여 로봇 스스로 이상을 검출하는 방법에 관한 연구가 진행되고 있다. 본 논문에서는 전이 학습을 이용하여 선형 로봇의 볼 스크류 정렬 이상과 선형 레일 정렬 이상을 검출하는 시스템을 제안하고 가속도 센서와 토크 센서 정보를 이용한 별개의 실험을 통해 제안한 시스템의 이상 검출 성능을 검증 및 비교한다. 센서로부터 얻어진 신호를 스펙트로그램 이미지로 변환한 후, 영상 인식 인공지능 분류기를 사용하여 이상의 종류를 진단하였다. 제안한 방법은 선형 로봇뿐만 아니라 일반적인 산업용 로봇에도 적용할 수 있을 것으로 기대한다. Linear motion robots are devices that perform functions such as transferring parts or positioning devices, and require high precision. In companies that develop linear robot application systems, human workers are in charge of quality control and fault diagnosis of linear robots, and the result and accuracy of a fault diagnosis varies depending on the skill level of the person in charge. Recently, there have been many attempts to utilize artificial intelligence to diagnose faults in industrial devices. In this paper, we present a system that automatically diagnoses linear rail and ball screw misalignment of a linear robot using transfer learning. In industrial systems, it is difficult to obtain a lot of learning data, and this causes a data imbalance problem. In this case, a transfer learning model configured by retraining an established model is widely used. The information obtained by using an acceleration sensor and torque sensor was used, and its usefulness was evaluated for each case. After converting the signal obtained from the sensor into a spectrogram image, the type of abnormality was diagnosed using an image recognition artificial intelligence classifier. It is expected that the proposed method can be used not only for linear robots but also for diagnosing other industrial robots.
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김덕기(Duck Gi Kim),이종항(Jong Hang Lee) 한국생산제조학회 2020 한국생산제조학회지 Vol.29 No.6
The chemical-plating quality of random-loaded small parts depends on the gap control between the parts in the bath. In this study, the plating characteristics for the screw motion of a basket in a bath were analyzed. This motion could be separated into parts for each, and the space for chemical reactions could be created, which improved its quality. The performance of the new technique was verified through experimental design and salt spray tests. The experimental results showed that the main factors that affected quality were temperature and plating solution concentration. In particular, the white rusting generated time of the screw motion method was longer than that of the conventional method.
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