Showing 3 results for Ardi
Sh. Mohammad-Nejad, M. Pourmahyabadi, A. Lajevardizadeh,
Volume 2, Issue 3 (October 2006)
Abstract
In this paper, the performance of a Ring Laser Gyro based inertial navigation is
investigated. Dynamic and stochastic modeling are applied to gyro simulation and
performance evaluation. In the dynamic model, some parameters such as scale factor and
environmental sensitivity have been determined, whereas in the stochastic model, the other
parameters such as random drift and measurement noise have been computed. The
performance of the system is evaluated for several inputs. Also, the parameter variation of
output noise as a result of changing the dither characteristics is analyzed.
A. Safari, H. Ardi,
Volume 14, Issue 1 (March 2018)
Abstract
In this paper, sliding mode control (SMC) for a bidirectional buck/boost DC-DC converter (BDC) with constant frequency in continuous conduction mode (CCM) is discussed. Since the converter is a high-order converter, the reduced-order sliding manifold is exploited. Because of right-half-plan zero (RHPZ) in the converter’s duty ratio to output voltage transfer function, sliding mode current controller is used. This controller benefits from various advantages such as fast dynamic response, robustness, stable and small variation of the settling time over a wide range of operation conditions. Because the converter operates in both step-down and step-up modes, two sliding manifold is derived for each mode. The existence and stability conditions are analyzed for both SMC in step-down and step-up modes. Finally, Simulation results are also provided to justify the feasibility of the controller using MATLAB/Simulink.
Pardis Asghari, Alireza Zakariazadeh,
Volume 19, Issue 4 (December 2023)
Abstract
This paper proposes a novel approach to analyzing and managing electricity consumption using a clustering algorithm and a high-accuracy classifier for smart meter data. The proposed method utilizes a multilayer perceptron neural network classifier optimized by an Imperialist Competitive Algorithm (ICA) called ICA-optimized MLP, and a CD Index based on Fuzzy c-means to optimally determine representative load curves. A case study involving a real dataset of residential smart meters is conducted to validate the effectiveness of the proposed method, and the results demonstrate that the ICA-optimized MLP method achieves an accuracy of 98.62%, outperforming other classification methods. This approach has the potential to improve energy efficiency and reduce costs in the power system, making it a promising solution for analyzing and managing electricity consumption.
