artificial neural network-based controller
Artificial Neural Network Based Induction Motor Speed Controller
... 'Artificial Neural Network Based Controller for Speed Control of an Induction Motor using Indirect Vector ...the network to obtain optimum value of weights and biases ...
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Vol 2, No 11 (2014)
... techniques Artificial Intelligence (AI) techniques, particularly the neural networks, improves the performance & operation of induction motor ...and Neural Network controller ...and ...
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Artificial Neural Network Controller for Vector Controlled Induction Motor Drive
... Artificial neural networks are non linear data driven self adaptive approach as opposed to a traditional based methods. When the underlying data relationship is unknown they prove to be a powerful ...
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The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm
... is controller based on the artificial network and the different evolve algorithm, r is system referenced input, y is system output, u is controlling output of ANN-DEA-PID ...
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DESINGING OF ANN BASED SPEED CONTROLLER FOR PHASE CONTROLLED DC MOTOR
... of controller is highly simplified by using a cascade structure for independent control of flux and ...ANN based control strategy suitable for a vast number of industrial, paper mills ...of ...
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On The Design of Artificial Intelligence Based Load Frequency Controller for A Two Area Power System With Super Conducting Magnetic Energy Storage Device
... the Neural Network Controller has quite satisfactory generalization, capability, feasibility, reliability ,accuracy and it is very powerful in reducing the frequency deviations under a variety of ...
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Comparison between PID and Artificial Neural Networks to Control of Boiler for Steam Power Plant | Journal of Engineering Sciences
... conventional controller and intelligent with the addition of slider gain provide a good performance in each area of hydrothermal combination and reduce the oscillation of the frequency variation and the tie line ...
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REDUCTION OF VOLTAGE DISTURBANCES IN DISTRIBUTION SYSTEM USING NEURAL CONTROLLER
... the neural controller as analogous to PI controller for voltage regulation, performance of the DVR under different voltage ...PI controller is difficult to tune for non linear systems; ...
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A Transformer less Upfc with Artificial Neural Network Controller
... transformer based UPFCs are still too slow in dynamic response due to large time constant of magnetizing inductance over resistance and pose control challenges because of transformer saturation, magnetizing ...
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An Artificial Neural Network Based Real-time Reactive Power Controller
... Artificial neurons are similar to their biological counterparts. It has input connections which are summed together to determine the strength of their output, which is the result of the sum being fed into an ...
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Implementation of Artificial Neural Network Training Data in Micro-Controller Based Embedded System
... Matlab still produces the test patterns and then sends them via the serial port to the microcontroller. This simulates data the microcontroller would gain from another source like the analog to digital converter. Once ...
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Solar Thermal Aquaculture System Controller Based on Artificial Neural Network
... a substantial increase in the interest on artificial neural networks. During the last ten years, there has been a sub- stantial increase in the interest on artificial neural net- works. The ...
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Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
... The sliding mode control is robust to plant uncertainties and insensitive to external disturbances. It is widely used to obtain good dynamic performance of controlled systems. However, the chattering phenomena due to the ...
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Neuro-Fuzzy Scheduler for the Control of Real Time Spherical Tank Process
... forward neural network, but the links in an ANFIS only indicate the flow direction of signals between nodes and no weights is associated with the ...
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Vol 5, No 1 (2013)
... A neural network (NN), in the case of artificial neurons called artificial neural network (ANN) or simulated neural network (SNN), is an interconnected group of ...
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A Study on Effective Algorithm for Medical Decision Making System
... metaphors: Neural Networks, Fuzzy Logic and Genetic Algorithms in a hybrid ...The Neural Networks and Fuzzy Logic metaphors are coupled in one system called Fuzzy Neural ...Fuzzy Neural ...
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Improving of Crystal Size Distribution Control Based on Neural Network Based Hybrid Model for Purified Terephthalic Acid Batch Crystallizer
... model based approaches which can handle most common process characteristics and industrial requirements in a satisfactory ...way, neural networks offer alternative nonlinear models for implementing MPC in ...
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Global solar radiation forecasting based on meteorological data using artificial neural network
... that network learns to recognize present pattern from input data set together with the desired pattern of activities for the output ...evaluates network ability in order to extract a feasible solution when ...
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ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
... The result of the observation is tabulated in Table 1-Comparison by CFS. The result shows that though the Discriminative Multinomial Naïve Bayes (DMNB) method and other methods like Naïve Bayes Multinomial(NBM), Naïve ...
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Beat classification of an ecg signal using photoplethysmography and neural network
... Firstly, the overall performance was tested with the10 dimensional PPG features, bypassing the feature selection phase. Secondly, selected features were used for performance analysis. Both ANN and SVM were used for ...
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