توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱DESIGNING A ROBUST CONTROLLER FOR DOUBLY FED WIND GENERATOR
نویسنده(ها): ، ،
اطلاعات انتشار: ششمین کنفرانس بین‌المللی مسائل فنی و فیزیکی در مهندسی قدرت، سال
تعداد صفحات: ۵
Although using wind generators is of interest because of low installation operation price, but the complexity of their control limits their use. In this paper, first we talk about wind generator’s modeling in order to design a robust controller. Then, the uncertainties and the disturbance are considered which cause the inconsistencies in classic controllers. In the next step, by utilizing H∞ and H2 we design the controllers which are robust and efficient against the structural uncertainties and the disturbance. Finally, we proceed to the simulation results.<\div>

۲DESIGNING OF MIXED H2 AND H∞ CONTROLLER FOR DOUBLY FED INDUCTION GENERATOR
نویسنده(ها): ، ، ،
اطلاعات انتشار: ششمین کنفرانس بین‌المللی مسائل فنی و فیزیکی در مهندسی قدرت، سال
تعداد صفحات: ۵
Considering their simple structure and low production and maintenance cost, wind powerhouses are becoming highly–demanded these days. Unfortunately, the very basic problem to vastly employ these generators in industry is due to difficulty to control these blocks under uncertainties and large distortion magnitudes. In this paper, a modified control method will be proposed in which, in addition to proper fast operation, it makes generator robust against these issues. To be able to present the details of the proposed method, at first, the generator along with its control system is modeled properly. A mixed H2 and H∞ controller is designed and elaborated next. The whole system with proposed controller is simulated finally despite noise and distortion induced by the environment. Results reveal that the designed controller is highly–efficient in different aspects from tracking to distortion damping and noise elimination.<\div>

۳A study on FOREX forecasting steps utilizing neural network model
نویسنده(ها): ، ،
اطلاعات انتشار: پنجمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی، سال
تعداد صفحات: ۹
In this paper, forecasting steps of foreign currency exchange rate (FOREX) utilizing neural network is proposed and assessed. At first the concept of foreign exchange market is introduced and the influence aspects in forecasting FOREX are addressed. In this regard, the neural network is described as a powerful tool for modeling the market. The process of modeling is represented step by step. Finally, the prediction market with artificial model is analyzed and its applicability and beneficially of the proposed method is shown<\div>

۴An improved PID neural network controller for long time delay systems using particle swarm optimization algorithm
نویسنده(ها): ، ،
اطلاعات انتشار: پنجمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی، سال
تعداد صفحات: ۹
Conventional PID controller is the most popular controller in various field of industry. In spite of strong ability, this controller cannot be usually used for long time delay systems. There is a kind of neural networks called PID neural network (PIDNN) that utilizes the advantages of both PID controller and neural network simultaneously. PIDNN’s weights were in first adjusted by back propagation (BP) algorithm. BP algorithm ensures the final convergence, but the critical drawback is that the study training costs a long time. The convergence into local extremum is also possible. Hence, another method must be opted to optimize the network’s weight. This paper proposes a novel PIDNN without saturate surface namely PIDNN–PSO which its weights are adjusted using particle swarm optimization (PSO). PSO algorithm is an evolutionary optimization algorithm that due to the ease of implementation and fast convergence speed has been widely applied in many areas. The proposed controller is utilized as a controller for long time delay systems. The performance of the proposed controller is compared with the controller is designed by PIDNN–BP algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.<\div>

۵Optimalintelligentcontrolforglucoseregulation
نویسنده(ها): ، ، ،
اطلاعات انتشار: مكانيك سازه ها و شاره ها، سال
تعداد صفحات: ۹
Thispaperintroducesanovelcontrolmethodologybasedonfuzzycontrollerforaglucose–insulinregulatorysystemoftypeIdiabetespatient.First,inordertoincorporateknowledgeaboutpatienttreatment,afuzzylogiccontrollerisemployedforregulatingthegainsofthebasisProportional–Integral(PI)asaself–tuningcontroller.Then,toovercomethekeydrawbackoffuzzylogiccontroller,i.e.,thelackofsystematicmethodstodefinefuzzyrulesandfuzzymembershipfunctions,fuzzyPIcontrollerareoptimizedbyParticleSwarmOptimizationwithLinearlyDecreasingWeight(LDW–PSO)algorithm,whichisanovelevolutionarycomputationtechnique.SimulationresultsshowtheeffectivenessoftheproposedoptimalfuzzyPIcontrollerintermsofaccuracyandtimemargin
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