Original Research Paper
Fuzzy Logic Based Life Estimation of PWM Driven Induction Motors

T. G. Arora; M. V. Aware; D. R. Tutakne

Volume 1, Issue 2 , July 2013, Pages 63-71


  Pulse-width modulated (PWM) adjustable frequency drives (AFDs) are extensively used in industries for control of induction motors. It has led to significant advantages in terms of the performance, size, and efficiency but the output voltage waveform no longer remains sinusoidal. Hence, overshoots, high ...  Read More

Original Research Paper
A High Efficiency Low-Voltage Soft Switching DC–DC Converter for Portable Applications

P. Amiri; M. Sharafi

Volume 1, Issue 2 , July 2013, Pages 73-81


  This paper presents a novel control method to improve the efficiency of low-voltage DC-DC converters at light loads. Pulse Width Modulation (PWM) converters have poor efficiencies at light loads, while pulse frequency modulation (PFM) control is more efficient for the same cases. Switching losses constitute ...  Read More

Original Research Paper
Mitigation of Switching Harmonics in Shunt Active Power Filter Based on Variable Structure Control Approach

S. Mohammadi; H. R. Mosaddegh; M. Yousefian

Volume 1, Issue 2 , July 2013, Pages 83-88


  This paper presents a novel control approach used in shunt active power filter based on variable structure control combined with Random PWM technique (RVSC) that provides robust, fast, and more favorable performance for active power filter. This control strategy is compared with two other strategies ...  Read More

Original Research Paper
An Improved Time-Reversal-Based Target Localization for Through-Wall Microwave Imaging

A. B. Gorji; B. Zakeri

Volume 1, Issue 2 , July 2013, Pages 89-97


  Recently, time reversal (TR) method, due to its high functionality in heterogeneous media has been widely employed in microwave imaging (MI) applications. One of the applications turning into a great interest is through-wall microwave imaging (TWMI). In this paper, TR method is applied to detect and ...  Read More

Original Research Paper
Automatic Sleep Stages Detection Based on EEG Signals Using Combination of Classifiers

R. Kianzad; H. Montazery Kordy

Volume 1, Issue 2 , July 2013, Pages 99-105


  Sleep stages classification is one of the most important methods for diagnosis in psychiatry and neurology. In this paper, a combination of three kinds of classifiers are proposed which classify the EEG signal into five sleep stages including Awake, N-REM (non-rapid eye movement) stage 1, N-REM stage ...  Read More

Original Research Paper
A Comparison of Different Control Design Methods for the Linearized CSTR Temperature Model

A. D. Shakib Joo

Volume 1, Issue 2 , July 2013, Pages 107-114


  Continuous Stirred Tank Reactor (CSTR) has particular importance in chemical industry. CSTR has usually a nonlinear behavior which makes it difficult to control. The reactor has two parameters: the concentration and temperature of mixture both of which are uncertain. This case of CSTR has large disturbance ...  Read More