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By Lakhmi C. Jain, N.M. Martin

Man made neural networks can mimic the organic information-processing mechanism in - a really restricted feel. Fuzzy good judgment presents a foundation for representing doubtful and obscure wisdom and varieties a foundation for human reasoning. Neural networks reveal real promise in fixing difficulties, yet a definitive theoretical foundation doesn't but exist for his or her design.Fusion of Neural Networks, Fuzzy structures and Genetic Algorithms integrates neural internet, fuzzy approach, and evolutionary computing in approach layout that allows its readers to deal with complexity - offsetting the demerits of 1 paradigm through the advantages of another.This publication offers particular initiatives the place fusion recommendations were utilized. The chapters begin with the layout of a brand new fuzzy-neural controller. final chapters speak about the appliance of professional platforms, neural networks, fuzzy keep an eye on, and evolutionary computing ideas in glossy engineering structures. those particular functions include:odirect frequency convertersoelectro-hydraulic systemsomotor controlotoaster controlospeech recognitionovehicle routingofault diagnosisoAsynchronous move Mode (ATM) communications networksotelephones for hard-of-hearing peopleocontrol of fuel turbine aero-enginesotelecommunications platforms designFusion of Neural Networks, Fuzzy platforms and Genetic Algorithms covers the spectrum of purposes - comprehensively demonstrating the benefits of fusion suggestions in business purposes.

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300°-360°]. Each time zone denotes the current space vectors with bigger modules in each zone in the complex plane (Figure 10b). For example, in case the load current vector zone is I, then Vx will be in {V3, V6, V9, V12, V15, V18} (Figure 5), depending on the time zone given by ². a) If e³ >0 then the next state is St= Vy. b) If e³ <0 then the next state is St= Vx. where, ei = e³ = St = converter’s state. 6. Results The previous sections of this chapter have described the modeling, operation, and control of the presented XDFC.

Fuzzy logic control [15][16], successfully used for various power electronics applications [17-19], is used to control this converter. Also, a new SVM technique is presented, named eXpert knowledge-based SVM (XSVM), whose combined action with fuzzy control originates the eXpert Direct Frequency Converter (XDFC). The XDFC is capable of working with a unity ac-ac voltage gain and a maximum commutation frequency of 850 Hz. The unity voltage gain allows XDFC driven motors rated at the system’s nominal voltage to work at this voltage level without requiring transformers to counteract the voltage loss from other types of DFCs or conventional converters.

This block measures, at every sampling instant, the output and input errors, eo and ei, respectively. If either accepted error is exceeded, then the fuzzy controller determines which port has higher priority. Then, the selected XSVM modulator determines the next converter state. For this, it requires the output and input voltage and current space vectors, obtained by the Main Controller block. Finally, from the selected state, the gating signals to the switches are generated. 2 Fuzzy Logic Controller Fuzzy logic is a logical system that seeks to emulate human thinking and natural language [15][16].

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