Effects of fractional order on performance of fosmc for speed control of PMSM

Fractional order sliding mode control has been applied for speed control of PMSM. However, in many previous works, the effects of the controller's parameters have not been studied. This paper investigates the effects of fractional order on performance of FOSMC speed control of PMSM. In this work, fractional order, α and β of FOSMS-PID were varied, and their performances were compared. The simulation and experimental results show that variation of order of fractional order integration, α and order of fractional order differentiation, β can affect the performance of the FOSMC-PID controller. Selection of α and β values determines balancing strategies between integral and differentiation portion of the controller. Proper value selection and combination of these variables can further contribute to obtain optimum speed tracking, disturbance rejection and chattering reduction abilities

Kraf Buluh Kampung Jal Kechil: Simbolisme Minda Dan Watak Dalam Sosiobudaya Melayu

Keselarasan hubungan antara manusia dengan persekitaran telah menimbulkan reaksi untuk memakmurkan alam dengan pembangunan pemikiran dan tindakan yang seimbang. The harmonious relationship between human beings and their environment has stirred reaction to contain nature with the development of mind and action

Chemometric Classification Of Herb � Orthosiphon Stamineus According To Its Geographical Origin Using Virtual Chemical Sensor Based Upon Fast GC

An analytical method using Electronic Nose (E-nose) instrument for analysis of volatile organic compound from Orthosiphon stamineus raw samples have been developed

A hybrid thermal-visible fusion for outdoor human detection

Multisensory image fusion can be used to improve the visual interpretability of an image for further processing task. A hybrid thermal-visible image fusion is proposed in this paper to detect the target and produce an output image that had all the information from both sensors. The thermal target region was extracted using Niblack algorithm and some morphological operators. Then, the source images were decomposed at pixel level using Stationary Wavelet Transform (SWT). The appropriate fusion rule were chosen for low and high frequency components and finally the fused image was obtained from inverse SWT. Results show that the proposed method achieve better to include figure of merit than the other three methods

Pembangunan prototaip sistem gelung tertutup pacuan motor segerak magnet kekal

Motor segerak magnet kekal (PMSM) digunakan secara meluas untuk aplikasi kuasa rendah dan sederhana serta dalam pacuan berprestasi tinggi. Motor ini digemari berbanding motor berus and sedikit demi sedikit menggantikan motor induksi dalam pelbagai bidang aplikasi kerana kelebihannya. Ramai penyelidik mencadangkan kaedah-kaedah kawalan baru bagi sistem pacuan PMSM. Namun begitu, sistem PMSM tidak linear dan mengandungi parameter-parameter yang berubah mengikut masa. Atas faktor ini, penyelidik tidak boleh hanya bergantung kepada keputusan simulasi untuk membuktikan kelebihan kawalan yang dicadangkan. Untuk mengesahkan keputusan yang diperolehi melalui simulasi, pengesahan eksperimen diperlukan, di mana prototaip sistem gelung tertutup pacuan PMSM perlu dibangunkan. Artikel ini menerangkan pembangunan sistem pacuan PMSM dengan maklum balas arus, halaju dan kedudukan gelung tertutup menggunakan papan kawalan dSpace DS1104 bagi sebuah PMSM 1.93kW tiga fasa dakap dalaman yang digunakan untuk pengesahan eksperimen bagi kawalan halaju kawalan mod gelongsor tertib pecahan yang dicadangkan. Dengan menggunakan prototaip ini, prestasi sebarang kaedah kawalan yang dicadangkan boleh disahkan dalam aplikasi sebenar. Prosedur perolehan yang bersesuaian bagi isyarat maklum balas seperti yang diterangkan dalam artikel ini adalah penting untuk memastikan ketepatan prestasi sistem gelung tertutup yang dibangunkan

Development of Edu-Fertiblox digital game using roblox as a teaching aid for the fertigation system topic in the design and technology subject form 1

A lack of practical facilities frequently causes problems for teachers and students. The Edu-Fertiblox digital game has been developed for the purpose of being a teaching aid (TA) for the topic of Fertigation Systems in Design Technology Subject Form 1. This study aimed to identify the needs of TAs for the topic of fertigation systems, develop the Edu-Fertiblox digital game as a TA, and assess the usability of the digital game. The development of this game is using the ADDIE model as a research design. The digital game was developed using Roblox Studio. After that, Edu-Fertiblox was evaluated for its usability by three informants, consisting of teaching staff who are experts in Design and Technology. The findings showed all the informants agreed that the Edu-Fertiblox digital game can be used as a teaching aid for the Fertigation System topic of Design and Technology Form 1

Fusion of thermal and visible imagery for effective detection and tracking of salient objects in videos

In this paper, we present an efficient approach to detect and track salient objects from videos. In general, colored visible image in red-green-blue (RGB) has better distinguishability in human visual perception, yet it suffers from the effect of illumination noise and shadows. On the contrary, thermal image is less sensitive to these noise effects though its distinguishability varies according to environmental settings. To this end, fusion of these two modalities provides an effective solution to tackle this problem. First, a background model is extracted followed by background-subtraction for foreground detection in visible images. Meanwhile, adaptively thresholding is applied for foreground detection in thermal domain as human objects tend to be of higher temperature thus brighter than the background. To deal with cases of occlusion, prediction based forward tracking and backward tracking are employed to identify separate objects even the foreground detection fails. The proposed method is evaluated on OTCBVS, a publicly available color-thermal benchmark dataset. Promising results have shown that the proposed fusion based approach can successfully detect and track multiple human objects

Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSM

Tracking the speed and current in permanent magnet synchronous motors (PMSMs) for industrial applications is challenging due to various external and internal disturbances such as parameter variations, unmodelled dynamics, and external load disturbances. Inaccurate tracking of speed and current results in severe system deterioration and overheating. Therefore, the design of the controller for a PMSM is essential to ensure the system can operate efficiently under conditions of parametric uncertainties and significant variations. The present work proposes a PMSM speed controller using machine learning (ML) techniques for quick response and insensitivity to parameter changes and disturbances. The proposed ML controller is designed by learning fractional-order sliding mode control (FOSMC) controller behavior. The primary purpose of using ML in FOSMC is to avoid the self-tuning of the parameters and ensure the speed reaches the reference value in finite time with faster convergence and better tracking precision. Furthermore, the ML model does not require the mathematical model of the speed controller. In this work, several ML models are empirically evaluated on their estimation accuracy for speed tracking, namely ordinary least squares, passive-aggressive regression, random forest, and support vector machine. Finally, the proposed controller is implemented on a real-time hardware-in-the-loop (HIL) simulation platform from PLECS Inc. Comparative simulation and experimental results are presented and discussed. It is shown from the comparative study that the proposed FOSMC based on ML outperformed the traditional sliding mode control (SMC), which is more commonly used in industry in terms of tracking speed and accuracy

Robust Speed Control of PMSM Using Sliding Mode Control (SMC)—A Review

Permanent magnet synchronous motors (PMSMs) are known as highly efficient motors and are slowly replacing induction motors in diverse industries. PMSM systems are nonlinear and consist of time-varying parameters with high-order complex dynamics. High performance applications of PMSMs require their speed controllers to provide a fast response, precise tracking, small overshoot and strong disturbance rejection ability. Sliding mode control (SMC) is well known as a robust control method for systems with parameter variations and external disturbances. This paper investigates the current status of implementation of sliding mode control speed control of PMSMs. Our aim is to highlight various designs of sliding surface and composite controller designs with SMC implementation, which purpose is to improve controller’s robustness and/or to reduce SMC chattering. SMC enhancement using fractional order sliding surface design is elaborated and verified by simulation results presented. Remarkable features as well as disadvantages of previous works are summarized. Ideas on possible future works are also discussed, which emphasize on current gaps in this area of research

Comparison of Human Segmentation using Thermal and Color Image in Outdoor Environment

Nowadays video surveillance system are very important in an urban and rural area that can operate day and night, in all weather conditions. It is a challenging task to detect human due to body size, occlusion, lighting conditions, cluttered background, cloth texture and similarity of the human body/clothing with the background. Hence, in this paper, thermal and color images are utilized to evaluate the performance of the proposed method for single human segmentation in outdoor environment. The evaluation of the segmentation process is carried out based on OTCBVS Benchmark Dataset. The approach use morphological operation, global thresholding and edge detection as the main step in segmentation process. For quantitative analysis, 100 images for color and thermal respectively are analyze using Jaccard Similarity Coefficient where we compare the resulting image with its ground truth. From the results, human segmentation using thermal images are better compared to color image where 88% show a good segmentation result and only 4% cannot get a human figure correctly