Freshwater fish is one of important commodities for the people of Indonesia.
This paper presents a model-based scheme for permanent magnet synchronous motor (PMSM) driving transmission fault detection and identification (FDI) in a steady-state condition. The proposed framework utilizes a PMSM state-space model and an approximated transmission model to construct the regression models for parameter estimation using the Recursive Least-Square (RLS) algorithm. The FDI are accomplished by the residual current spectrum thresholding method to assess the fault characteristic frequency magnitude and also by parameter clustering. Two types of mechanical transmission with three different fault conditions are tested in the experiments. As a preliminary effort in the condition monitoring of PMSM driving transmission, the study results demonstrate a promising approach by considering both residual current spectrum and parameter cluster, which achieved a satisfactory decision making in detecting and identifying the faulty condition.
A novel framework of model-based fault detection and identification (MFDI) for induction motor (IM)-driven rotating machinery (RM) is proposed in this study. A data-driven subspace identification (SID) algorithm is employed to obtain the IM state-space model from the voltage and current signals in a quasi-steady-state condition. This study aims to improve the frequency–domain fault detection and identification (FDI) by replacing the current signal with a residual signal where a thresholding method is applied to the residual signal. Through the residual spectrum and threshold comparison, a binary decision is made to find fault signatures in the spectrum. The statistical Q-function is used to generate the fault frequency band to distinguish between the fault signature and the noise signature. The experiment in this study is performed on a wastewater pump in an existing industrial facility to verify the proposed FDI. Two faulty conditions with mathematically known and mathematically unknown faulty signatures are experimented with and diagnosed. The study results present that the residual spectrum demonstrated to be more sensitive to fault signatures compare to the current spectrum. The proposed FDI has successfully shown to identify the fault signatures even for the mathematically unknown faulty signatures.
Abstrak -Saat ini, penelitian terhadap penggunaan UGV dalam bidang industri pertanian dilakukan secara intensif. UGV dapat diaplikasikan dalam bidang industri pertanian dikarenakan operasinya yang fleksibel dan bentuknya yang sesuai dengan kondisi pada lahan pertanian. Salah satu faktor penting dalam pengoperasian UGV di lahan pertanian adalah pengendalian kecepatan geraknya. Kecepatan gerak UGV secara langsung ditentukan oleh kecepatan sudut dari motor DC yang digunakan sebagai tenaga penggerak pada roda-roda UGV. Artikel ini akan mendeskripsikan mengenai perancangan sistem kendali untuk mengendalikan kecepatan motor DC penggerak pada roda UGV. Pengendalian UGV ini dirancang menggunakan sistem kendali PID dimana berdasarkan metode trial dan eror dihasilkan nilai gain persamaan PID sebagai berikut KP = 0.03, KI = 0.0000001, dan KD = 0.005. Kecepatan UGV pada penelitian ini diuji dengan menggunakan dua input perintah kecepatan sudut dalam pemrogramannya. Berdasarkan pengujian sistem kendali menggunakan input 5500 RPM dan 4500 RPM diperoleh hasil bahwa UGV dapat bergerak pada jalur lurus dengan kecepatan yang konstan dengan nilai 0.528 m/s dan 0.431 m/s. Input perintah pada program berupa nilai RPM pada persamaan sistem kendali menghasilkan pengendalian motor DC yang tepat dibandingkan input program berupa nilai PWM secara langsung untuk menggoperasikan motor DC.Kata kunci -UGV, kecepatan, sistem kendali, motor DC Abstract -Nowadays, researches on the UGV usage for agricultural industry are done intensively. UGVs can be applied in agricultural industry sector due to its flexible operation and its suitable shape for agricultural field conditions. An important factor in the UGV operation on agricultural field is the controlling of UGV motion velocity. Directly, the UGV motion velocity is determined by the angular velocity of the DC motors used as the UGV propulsion motor on its wheels. This paper aims to describe the control system design for controlling the UGV propulsion DC motor speed. The UGV control is designed by using the PID control system where based on the trial and error method the PID gains are obtained as follows, KP = 0.03, KI = 0.0000001, and KD = 0.005. The UGV velocity is tested by using two input commands on its programming as the angular velocity. Based on the control system testing with two input commands of 5500 RPM and 4500 RPM, it is obtained that UGV can move on a straight path with constant velocity at 0.528 m/s and 0.431 m/s. The input commands on the UGV programing in RPM values on the designed control system resulting in the proper DC motor speed controller compare to the input commands in PWM values directly to operate the DC motor.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.