Robust Active Fault Tolerant Control Dengan Permasalahan Incomplete Information Pada Suspensi Semi Aktif Sistem Mobil Beroda Empat

Perkembangan teknologi dibidang otomotif sangatlah pesat. Penelitian mengenai road holding dan road handling pada kendaraan masih berlanjut untuk meningkatkan kenyamanan dan keamanan berkendara. Suspensi pada kendaraan memegang peranan yang sangat penting dalam memperoleh kenyamanan. Dari penelitian yang telah dilakukan kenyamanan berkendara dan pengemudian pada suspensi semi aktif lebih baik jika dibandingkan dengan suspensi pasif, dan lebih terjangkau jika dibandingkan suspensi aktif. Penggunaan suspensi semi aktif yang dipasang pada keempat roda sebuah sistem kendaraan beroda empat tidak luput dari adanya kesalahan yang terjadi pada masing-masing sensor. Untuk mengatasi kesalahan pada sistem, maka perlu adanya sebuah metode unuk mengkompensasi kesalahan pada sistem sehingga sistem dapat memiliki performa yang baik. Metode ini disebut Fault Tolerant Control (FTC). Beberapa penelitian tentang FTC pada sistem kendaraan yang menggunakan suspensi semi aktif telah dilakukan, namun pembahasan tentang incomplete information tidak di kaji lebih lanjut. Sedangkan dalam beberapa situasi, terdapat beberapa data atau input kontrol hilang selama pengolahan data. Tesis ini membahas mengenai FTC dengan permasalahan incomplete information yang diaplikasikan pada suspensi semi aktif sistem mobil beroda empat. FTC yang digunakan yaitu tipe Active Fault Tolerant Control (AFTC). AFTC digunakan agar parameter dari kontroler dikonfigurasi ulang sesuai dengan informasi kesalahan yang didapatkan secara online guna meningkatkan stabilitas dan performa keseluruhan sistem saat terjadi kesalahan pada sistem. Dari empat simulasi yang dilakukan, penggunaan metode ini mampu mengurangi magnitude percepatan sistem akibat fault rata – rata sebesar 43%. Kontribusi dari penelitian ini adalah penggunaan AFTC terbukti dapat menyelesaikan permasalahan Incomplete Information dengan menggunakan metode Robust H∞ dengan pendekatan Linier Matrix Inequality (LMI). ================================================================= The development of technology in the field of automotive is so rapid. Research on road holding and road handling in vehicles aim to improve the comfort and safety of driving. Suspension on the vehicle is very important role in obtaining comfort and safety of driving. From existing literature, comfort and safety of driving in semi-active suspension is better than passive suspension, and more affordable then active suspension. Semi active suspension in the vehicle system is not spared from the errors that occur in each sensor. To compensate error on the system, need a method to compensate errors on the system so the system can have good performance. This method is called Fault Tolerant Control (FTC). From existing literature, there are many literature about FTC on vehicle systems using semi active suspension, but discussion of incomplete information is not studied further. While in some situations, there are some data or input controls lost during data processing. This thesis investigate about FTC with incomplete information problems applied to the semi-active suspension of the four-wheeled car system. This thesis use Active Fault Tolerant Control (AFTC). AFTC is used to allow the parameters of the controller to be reconfigured in accordance error information obtained online to improve the stability and overall performance of the system when an error occurs in the system. From the simuations performed, the method can reduce the magnitude of system acceleration average of 43%. The contribution of this research is AFTC proven to solve the problem of Incomplete Information by using Robust H∞ method with Linear Matrix Inequality (LMI) approach

Aplicación de estimadores on-line de variables rotóricas para la mejora de las prestaciones en variadores de velocidad multifásicos

Las máquinas multifásicas (más de tres fases) son ampliamente reconocidas como una alternativa al convencional esquema trifásico en un gran número de aplicaciones en donde se requieren elevada fiabilidad e incluso la posibilidad de seguir funcionando en presencia de fallas, como es el caso de los sistemas de tracción y propulsión de vehículos eléctricos, trenes y navíos, así como sistemas eléctricos de generación eólica. Los avances en las estrategias de control de las máquinas multifásicas han evolucionado desde la extensión de los métodos de control vectorial y control directo de par, utilizados en las máquinas trifásicas, a métodos más sofisticados, tales como el control predictivo. El concepto del control predictivo se basa en el cálculo del comportamiento futuro del sistema, de tal forma a utilizar dicha información para calcular los valores óptimos que minimizan una función de costo. La ejecución del algoritmo del controlador predictivo se basa en tres pasos: estimación de las variables no medibles, predicción del comportamiento futuro de los estados del sistema, y optimización de las salidas, de acuerdo a las restricciones impuestas como consigna de control. El control predictivo aplicado a las máquinas multifásicas utilizan, en su gran mayoría, las corrientes del estátor y del rotor como variables de estado. Puesto que las corrientes del rotor son estados no medibles, éstas deben ser estimadas. La principal aportación de esta Tesis Doctoral se centra en la aplicación de estimadores on-line de variables rotóricas (corrientes del rotor) en el control predictivo de corriente en variadores de velocidad de máquinas de inducción multifásicas. En este contexto, se realiza un análisis comparativo de la eficiencia a partir de dos algoritmos de control predictivo de corriente (PCC, del inglés predictive current control), el PCC basado en el observador de Luenberger, y el PCC basado en la estimación óptima (filtro de Kalman), los resultados obtenidos son comparados con técnicas convencionales en las cuales la corriente del rotor es estimada a partir de las ecuaciones dinámicas del accionamiento. Las aportaciones han sido evaluadas mediante simulaciones sobre dos tipos de accionamientos multifásicos, de seis y cinco fases, y posteriormente validadas mediante resultados experimentales los cuales han sido obtenidos sobre el accionamiento de cinco fases

Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

Abstract— Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can’t store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system. Keywords— Shortest Path, Algorithm Dijkstra, Node Combination, Dynamic Location (key words

Internet of Things From Hype to Reality

The Internet of Things (IoT) has gained significant mindshare, let alone attention, in academia and the industry especially over the past few years. The reasons behind this interest are the potential capabilities that IoT promises to offer. On the personal level, it paints a picture of a future world where all the things in our ambient environment are connected to the Internet and seamlessly communicate with each other to operate intelligently. The ultimate goal is to enable objects around us to efficiently sense our surroundings, inexpensively communicate, and ultimately create a better environment for us: one where everyday objects act based on what we need and like without explicit instructions

Autonomic Management of Cloud Virtual Infrastructures

The new model of interaction suggested by Cloud Computing has experienced a significant diffusion over the last years thanks to its capability of providing customers with the illusion of an infinite amount of reliable resources. Nevertheless, the challenge of efficiently manage a large collection of virtual computing nodes has just been partially moved from the customer's private datacenter to the larger provider's infrastructure that we generally address as “the cloud”. A lot of effort - in both academic and industrial field - is therefore concentrated on policies for the efficient and autonomous management of virtual infrastructures. The research on this topic is further encouraged by the diffusion of cheap and portable sensors and the availability of almost ubiquitous Internet connectivity that are constantly creating large flows of information about the environment we live in. The need for fast and reliable mechanisms to process these considerable volumes of data has inevitably pushed the evolution from the initial scenario of a single (private or public) cloud towards cloud interoperability, giving birth to several forms of collaboration between clouds. The efficient resource management is further complicated in these heterogeneous environments, making autonomous administration more and more desirable. In this thesis, we initially focus on the challenges of autonomic management in a single-cloud scenario, considering the benefits and shortcomings of centralized and distributed solutions and proposing an original decentralized model. Later in this dissertation, we face the challenge of autonomic management in large interconnected cloud environments, where the movement of virtual resources across the infrastructure nodes is further complicated by the intrinsic heterogeneity of the scenario and difficulties introduced by the higher latency medium between datacenters. According to that, we focus on the cost model for the execution of distributed data-intensive application on multiple clouds and we propose different management policies leveraging cloud interoperability

Collected Papers (on various scientific topics), Volume XIII

This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.‬‬‬‬‬‬‬

EXPERIMENTAL STUDIES FOR DEVELOPMENT HIGH-POWER AUDIO SPEAKER DEVICES PERFORMANCE USING PERMANENT NdFeB MAGNETS SPECIAL TECHNOLOGY

In this paper the authors shows the research made for improving high-power audio speaker devices performance using permanent NdFeB magnets special technology. Magnetic losses inside these audio devices are due to mechanical system frictions and to thermal effect of Joules eddy currents. In this regard, by special technology, were made conical surfaces at top plate and center pin. Analysing results obtained by modelling the magnetic circuit finite element method using electronic software package,was measured increase efficiency by over 10 %, from 1,136T to13T