M. R. Askari

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This paper provides an intelligence method for medium and long-term energy demand forecasting of a complicated electrical system. A neurofuzzy methodology for load prediction is introduced that exploits the power of artificial neural networks (ANN) and fuzzy logic. In this method, energy data of several past years is used to train an Adaptive Network based(More)
In this paper a new approach will be used for optimal coordination of directional over current (DOC) relays based on genetic algorithm. In this approach, optimal operation characteristics and also optimal current setting and time setting of each OC relays will be determined simultaneously. Also, a new objective function will be used which is different from(More)
A number of modulation strategies are used in multi-level power conversion applications. This paper is focused on novel multi-carrier PWM methods which have been extended for use in cascaded H-bridge multi-level inverter. Novel multi-carrier PWM method can be optimized or balanced the switch utilization in cascaded H-bridge multi-level inverter. Five-level(More)
Compact on-chip spectrometers with high resolution are an important building block needed in implementing spectral interrogation for optical lab-on-a-chip sensing applications. Photonic crystal (PC) superprism devices provide a proper solution as integrated on-chip spectrometers due to their unique and strong dispersive properties and possibility of(More)
The purpose of this study is to illustrate a new method for sensorless vector control of induction motors. This approach uses zero-crossing times (ZCT) signal of stator current to estimate rotor speed. ZCT signal contains useful information which can be used for estimation of rotor speed and resistance. We have used this information for online estimation of(More)
Modal series is a new approach for modeling and analysis of nonlinear systems. This paper provides application of modal series to state estimation of nonlinear systems and introduces a new state estimation approach for nonlinear systems which uses a modal series model of nonlinear systems for Kalman filtering. The method implies a sequential use of Kalman(More)
The purpose of this study is to illustrate a new method for sensorless vector control of induction motors. This approach uses zero-crossing times (ZCT) signal of stator current to estimate rotor speed. ZCT signal contains useful information which can be used for estimation of rotor speed and resistance. We have used this information for online estimation of(More)
A preconditioned demultiplexing device is proposed. It based on modifying the behavior of beam during propagation inside the photonic crystal (PC) region. With proper design, the optical beams corresponding to different wavelength channels are spatially separated at their focal plane. Therefore, less area is occupied by each channel, and the total area of(More)
The superprism effect is one of unique dispersive properties of PCs that has been proposed for integrated wavelength demultiplexing. However, diffraction of separated wavelength channels has been a main drawback in such PC demultiplexers. We demonstrate in this talk new compact PC demultiplexers by combining diffraction compensation and the superprism(More)