دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش بیستم

منطق فازی (Fuzzy Logic) اولین بار در پی تنظیم نظریه مجموعه‌های فازی به وسیله پروفسور لطفی زاده (۱۹۶۵ میلادی) در صحنه محاسبات نو ظاهر شد. در واقع منطق فازی از منطق ارزش‌های «صفر و یک» نرم‌افزارهای کلاسیک فراتر رفته و درگاهی جدید برای دنیای علوم نرم‌افزاری و رایانه‌ها می‌گشاید، زیرا فضای شناور و نامحدود بین اعداد صفر و یک را نیز در منطق و استدلال‌های خود به کار می‌گیرد. در ادامه مقالات علمی انتشارات بین المللی اشپرینگر (Springer) در زمینه منطق فازی (Fuzzy Logic) برای دانلود آمده است. می توانید برای دانلود هر یک از مقالات از سرور دانلود متلب سایت، بر روی لینک دانلود هر یک از آن ها، کلیک کنید.

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دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — فهرست اصلی

عنوان اصلی مقاله Numerical analysis of vehicle-to-vehicle impact using vehicle dynamics control systems for collision mitigation
نوع مقاله مقاله ژورنال
نویسندگان Ahmed Elmarakbi, Mustafa Elkady, John MacIntyre
چکیده / توضیح This paper focuses on the use of vehicle dynamics control systems (VDCS) to mitigate vehicle collisions in case of offset frontal vehicle-to-vehicle crash scenario. A unique 6-degree-of-freedom vehicle dynamics/crash mathematical model is developed and analyzed in this research. The model is used to define the vehicle body crash parameters by integrating a vehicle dynamics model with a vehicle front-end structure model. In this model, the anti-lock braking system and the active suspension control system are co-simulated with the full car vehicle dynamics model and integrated with the front-end structure. The associated equations of motion of the model are developed and solved numerically. Four different cases of VDCS are investigated in this paper and their associated results are compared with the free rolling case scenario. It is shown from the numerical simulations that the vehicle dynamics/crash response can be captured and analyzed quickly and accurately. Furthermore, it is shown that the VDCS affect the crash characteristics positively.
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عنوان اصلی مقاله Adaptive vehicle traction control: combined longitudinal and lateral motion
نوع مقاله مقاله ژورنال
نویسندگان William T. Kirchner, Steve C. Southward
چکیده / توضیح It is often advantageous for ground vehicles to operate at or near their performance limits, with respect to vehicle traction. Real-world performance requirements result in maximization of the vector sum of accelerations to account for both longitudinal and lateral motion. At the core of this work is a traction control algorithm that operates on the same correlated input signals that a human expert driver would in order to maximize traction. An adaptive gradient ascent algorithm is proposed as a solution to vehicle traction control, and a real-time implementation is described using linear operator techniques, even though the tire–ground interface is highly non-linear. Two variations of the algorithm are presented, and both use a dynamic filter to estimate the gradient of the dynamic system with respect to the input. The first method uses measurements of the longitudinal and lateral accelerations of the vehicle, while the second method uses measurements of the traction forces directly. Performance of the proposed adaptive traction control algorithm is demonstrated using a series of driving maneuvers in which the longitudinal and lateral accelerations are maximized simultaneously or selectively. The simulations demonstrate the ability of the first algorithm to simultaneously maximize longitudinal and lateral acceleration, while the second algorithm demonstrates the ability to more selectively maximize individual traction forces. The algorithms developed in this work are well suited for efficient real-time control in ground vehicles in a variety of applications in which it is necessary to maximize both longitudinal and lateral acceleration as opposed to solely longitudinal acceleration.
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عنوان اصلی مقاله New integrated chassis control systems for vehicle handling performance enhancement
نوع مقاله مقاله ژورنال
نویسندگان Ahmed Elmarakbi, Chandrasekaran Rengaraj, Alan Wheately, Mustafa Elkady
چکیده / توضیح This paper investigates the principle of integration of vehicle dynamics control systems by proposing a new control architecture to integrate the following four major functional domains of a vehicle; braking, steering, suspension and driveline. The active control systems include brake-based electronic stability control, active front steering, normal suspension force control and variable torque distribution. Based on the analysis of these four standalone controllers, a novel rule based integration strategy is proposed to improve the vehicle handling. A nonlinear vehicle handling model is developed for this study in Matlab/Simulink. This model contains a sprung mass of six degrees of freedom that includes, longitudinal, lateral, yaw, roll, pitch and bounce and un-sprung masses with wheels at each corner of the vehicle. The simulation results show that this integration strategy enhances the vehicle handling stability in terms of reduction in vehicle yaw rate and side-slip angle that would not be attained in standalone manner.
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عنوان اصلی مقاله Towards zero-defect manufacturing (ZDM)—a data mining approach
نوع مقاله مقاله ژورنال
نویسندگان Ke-Sheng Wang
چکیده / توضیح The quality of a product is dependent on both facilities/equipment and manufacturing processes. Any error or disorder in facilities and processes can cause a catastrophic failure. To avoid such failures, a zero- defect manufacturing (ZDM) system is necessary in order to increase the reliability and safety of manufacturing systems and reach zero-defect quality of products. One of the major challenges for ZDM is the analysis of massive raw datasets. This type of analysis needs an automated and self-organized decision making system. Data mining (DM) is an effective methodology for discovering interesting knowledge within a huge datasets. It plays an important role in developing a ZDM system. The paper presents a general framework of ZDM and explains how to apply DM approaches to manufacture the products with zero-defect. This paper also discusses 3 ongoing projects demonstrating the practice of using DM approaches for reaching the goal of ZDM.
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عنوان اصلی مقاله Optimal machining conditions for turning Ti-6Al-4V using response surface methodology
نوع مقاله مقاله ژورنال
نویسندگان Satyanarayana Kosaraju, Venu Gopal Anne
چکیده / توضیح Machining titanium is one of ever-increasing magnitude problems due to its characteristics such as low thermal conductivity, modulus of elasticity and work hardening. The efficient titanium alloy machining involves a proper selection of process parameters to minimize the tangential force (F z) and surface roughness (R a). In the present work, the performance of PVD/TiAlN coated carbide inserts was investigated using response surface methodology (RSM) for turning Ti-6Al-4V. The effects of process parameters such as speed (v), feed (f), depth of cut (d) and back rake angle (γ y ) on F z and R a were investigated. The experimental plan used for four factors and three levels was designed based on face centered, central composite design (CCD). The experimental results indicated that F z increased with the increase in d, f and decreased with the increase in v and γ y , whereas R a decreased with the increase in v and γ y , and increased with d and v. The goodness of fit of the regression equations and model fits (R 2) for F z and R a were found to be 0.968 and 0.970, which demonstrated that it was an effective model. A confirmation test was also conducted in order to verify the correctness of the model.
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عنوان اصلی مقاله Models for lifetime estimation: an overview with focus on applications to wind turbines
نوع مقاله مقاله ژورنال
نویسندگان Thomas M. Welte, Kesheng Wang
چکیده / توضیح This paper provides an overview of models and methods for estimation of lifetime of technical components. Although the focus in this paper is on wind turbine applications, the major content of the paper is of general nature. Thus, most of the paper content is also valid for lifetime models applied to other technical systems. The models presented and discussed in this paper are classified in different types of model classes. The main classification used in this paper divides the models in the following classes: physical models, stochastic models, data-driven models and artificial intelligence, and combined models. The paper provides an overview of different models for the different classes. Furthermore, advantages and disadvantages of the models are discussed, and the estimation of model parameters is briefly described. Finally, a number of literature examples are given in this paper, providing an overview of applications of different models on wind turbines.
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عنوان اصلی مقاله Research progress and development trends of highway tunnels in China
نوع مقاله مقاله ژورنال
نویسندگان Chuan He, Bo Wang
چکیده / توضیح The highway tunnel system in China has in recent years surpassed Europe, the United States, and other developed countries in terms of mileage, scale, complexity, and technical achievement. Much scientific research has been conducted, and the results have greatly facilitated the rapid development of China’s highway tunnel building capacity. This article presents the historical development of highway tunneling in China, according to specific characteristics based on construction and operation. It provides a systematic analysis of the major achievements and challenges with respect to construction techniques, operation, monitoring, repair, and maintenance. Together with future trends of highway tunneling in China, suggestions have been made for further research, and development prospects have been identified with the aim of laying the foundation for a Chinese-style highway tunnel construction method and technical architecture.
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عنوان اصلی مقاله Adaptive neuro-fuzzy interface system for gap acceptance behavior of right-turning vehicles at partially controlled T-intersections
نوع مقاله مقاله ژورنال
نویسندگان Jayant P. Sangole, Gopal R. Patil
چکیده / توضیح Gap acceptance theory is broadly used for evaluating unsignalized intersections in developed countries. Intersections with no specific priority to any movement, known as uncontrolled intersections, are common in India. Limited priority is observed at a few intersections, where priorities are perceived by drivers based on geometry, traffic volume, and speed on the approaches of intersection. Analyzing such intersections is complex because the overall traffic behavior is the result of drivers, vehicles, and traffic flow characteristics. Fuzzy theory has been widely used to analyze similar situations. This paper describes the application of adaptive neuro-fuzzy interface system (ANFIS) to the modeling of gap acceptance behavior of right-turning vehicles at limited priority T-intersections (in India, vehicles are driven on the left side of a road). Field data are collected using video cameras at four T-intersections having limited priority. The data extracted include gap/lag, subject vehicle type, conflicting vehicle type, and driver’s decision (accepted/rejected). ANFIS models are developed by using 80 % of the extracted data (total data observations for major road right-turning vehicles are 722 and 1,066 for minor road right-turning vehicles) and remaining are used for model validation. Four different combinations of input variables are considered for major and minor road right turnings separately. Correct prediction by ANFIS models ranges from 75.17 % to 82.16 % for major road right turning and 87.20 % to 88.62 % for minor road right turning. The models developed in this paper can be used in the dynamic estimation of gap acceptance in traffic simulation models.
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عنوان اصلی مقاله A novel technique for the optimal design of offshore wind farm electrical layout
نوع مقاله مقاله ژورنال
نویسندگان Yingying Chen, Zhaoyang Dong, Ke Meng, Fengji Luo, Weifeng Yao, Jing Qiu
چکیده / توضیح The design of electrical layout is a key element in the offshore wind farm planning. We present a novel electrical layout design optimization method for offshore wind farms in this paper. The proposed method can be used to generate the network model based on fuzzy c-means (FCM) and binary integer programming (BIP) methods. It can automatically allocate wind turbines to the nearest substations and obtain the topology structure of cables utilized to connect wind turbines or turbine and substation. The objective of this optimization is to minimize the investment costs of cable connection and the transmission power losses. The results of case study clearly demonstrated the feasibility of the proposed method and showed that it can be used as a reliable tool for electrical layout design of offshore wind farms.
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عنوان اصلی مقاله Variable speed wind turbine for maximum power capture using adaptive fuzzy integral sliding mode control
نوع مقاله مقاله ژورنال
نویسندگان Saravanakumar Rajendran, Debashisha Jena
چکیده / توضیح This paper presents a nonlinear control approach to variable speed wind turbine (VSWT) with a wind speed estimator. The dynamics of the wind turbine (WT) is derived from single mass model. In this work, a modified Newton Raphson estimator has been considered for exact estimation of effective wind speed. The main objective of this work is to extract maximum energy from the wind at below rated wind speed while reducing drive train oscillation. In order to achieve the above objectives, VSWT should operate close to the optimal power coefficient. The generator torque is considered as the control input to achieve maximum energy capture. From the literature, it is clear that existing linear and nonlinear control techniques suffer from poor tracking of WT dynamics, increased power loss and complex control law. In addition, they are not robust with respect to input disturbances. In order to overcome the above drawbacks, adaptive fuzzy integral sliding mode control (AFISMC) is proposed for VSWT control. The proposed controller is tested with different types of disturbances and compared with other nonlinear controllers such as sliding mode control and integral sliding mode control. The result shows the better performance of AFISMC and its robustness to input disturbances. In this paper, the discontinuity in integral sliding mode controller is smoothed by using hyperbolic tangent function, and the sliding gain is adapted using a fuzzy technique which makes the controller more robust.
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