Papers by Hossein Sadegh Lafmejani
A High-efficiency Resonant Driver and Soft Decoder Interface with Fast-dynamics PLL-Type Angle and Speed Tracking Observer for Resolvers
Reliability Study on Front-end Capacitors in Boost PFC Architectures
2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
Energies, Aug 16, 2022
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Optimal Multi-Surface Fractional Sliding Mode Synchronizer for Chaotic Fractional-Order Energy Resources of Demand-Supply System
Control and Synchronization of Chaotic Fractional-Order Volta's System via Multi-Surface Sliding-Mode Controller
Multi-Surface Sliding Mode Controller for Stabilizing Uncertain Disturbed Fractional-Order Chaotic Systems
ABSTRACT
Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 2014
In this paper, the modeling, simulation and control of 3 degree of freedom articulated robotic ma... more In this paper, the modeling, simulation and control of 3 degree of freedom articulated robotic manipulator have been studied. First, we extracted kinematics and dynamics equations of the mentioned manipulator by using the Lagrange method. In order to validate the analytical model of the manipulator we compared the model simulated in the simulation environment of Matlab with the model was simulated with the SimMechanics toolbox. A sample path has been designed for analyzing the tracking subject. The system has been linearized with feedback linearization and then a PID controller was applied to track a reference trajectory. Finally, the control results have been compared with a nonlinear PID controller.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 2013
Fuzzy logic controller (FLC) is a heuristic method by If-Then Rules which resembles human intelli... more Fuzzy logic controller (FLC) is a heuristic method by If-Then Rules which resembles human intelligence and it is a good method for designing Non-linear control systems. In this paper, an arbitrary helicopter model includes articulated manipulators has been simulated with Matlab SimMechanics toolbox. Due to the difficulties of modeling this complex system, a fuzzy controller with simple fuzzy rules has been designed for its yaw and roll angles in order to stabilize the helicopter while it is in the presence of disturbances orits manipulators are moving for a task. Results reveal that a simple FLC can appropriatelycontrol this system.
Journal of Artificial Intelligence and Data Mining, 2016
The renewable energy resources such as wind power have recently attracted more researchers' atten... more The renewable energy resources such as wind power have recently attracted more researchers' attention. It is mainly due to the aggressive energy consumption, high pollution and cost of fossil fuels. In this era, the future fluctuations of these time series should be predicted to increase the reliability of the power network. In this paper, the dynamic characteristics and short-term predictability of hourly wind speed and power time series are investigated via nonlinear time series analysis methods such as power spectral density analysis, time series histogram, phase space reconstruction, the slope of integral sums, the 𝛿 -𝜀 method, the recurrence plot and the recurrence quantification analysis. Moreover, the interactive behavior of the wind speed and wind power time series is studied via the cross correlation, the cross and joint recurrence plots as well as the cross and joint recurrence quantification analyses. The results imply stochastic nature of these time series. Besides, a measure of the short-term mimic predictability of the wind speed and the underlying wind power has been derived for the experimental data of Spain's wind farm.
Dynamic Characterization and Predictability Analysis of Wind Speed and Wind Power Time Series in Spain Wind Farm
Journal of AI and Data Mining, 2016
The renewable energy resources such as wind power have recently attracted more researchers’ atten... more The renewable energy resources such as wind power have recently attracted more researchers’ attention. It is mainly due to the aggressive energy consumption, high pollution and cost of fossil fuels. In this era, the future fluctuations of these time series should be predicted to increase the reliability of the power network. In this paper, the dynamic characteristics and short-term predictability of hourly wind speed and power time series are investigated via nonlinear time series analysis methods such as power spectral density analysis, time series histogram, phase space reconstruction, the slope of integral sums, the method, the recurrence plot and the recurrence quantification analysis. Moreover, the interactive behavior of the wind speed and wind power time series is studied via the cross correlation, the cross and joint recurrence plots as well as the cross and joint recurrence quantification analyses. The results imply stochastic nature of these time series. Besides, a measure of the short-term mimic predictability of the wind speed and the underlying wind power has been derived for the experimental data of Spain’s wind farm.
Multi-Surface Sliding Mode Controller for Stabilizing Uncertain Disturbed Fractional-Order Chaotic Systems
International Journal of Mechatronics, Electrical and Computer Technology, 2014
In this paper, a new multi-surface sliding mode controller is proposed for stabilizing both comme... more In this paper, a new multi-surface sliding mode controller is proposed for stabilizing both commensurate and non-commensurate general fractional order chaotic systems. New sliding surfaces are proposed and the related switching control law has been derived, analytically. The proposed multi-surface sliding mode controller with the new sliding surfaces, makes the states stable even in the presence of uncertainty and external disturbances. The stability of the closed loop system, in spite of uncertainty and disturbances in the system states, has been investigated via Lyapunov theory. Simulations have been performed to show the effectiveness of the proposed method for both commensurate and non-commensurate systems. Short settling time, low and smooth control effort and asymptotic stability of the states as well as the sliding surfaces are the performance features of the proposed controller.
Fuzzy Control of Yaw and Roll Angles of a Simulated Helicopter Model Includes Articulated Manipulators
Indonesian Journal of Electrical Engineering and Informatics, 2015
Fuzzy logic controller (FLC) is a heuristic method by If-Then Rules which resembles human intelli... more Fuzzy logic controller (FLC) is a heuristic method by If-Then Rules which resembles human intelligence and it is a good method for designing Non-linear control systems. In this paper, an arbitrary helicopter model includes articulated manipulators has been simulated with Matlab SimMechanics toolbox. Due to the difficulties of modeling this complex system, a fuzzy controller with simple fuzzy rules has been designed for its yaw and roll angles in order to stabilize the helicopter while it is in the presence of disturbances or its manipulators are moving for a task. Results reveal that a simple FLC can appropriately control this system.
Modeling, Simulation and Position Control of 3DOF Articulated Manipulator
Indonesian Journal of Electrical Engineering and Informatics, 2013
In this paper, the modeling, simulation and control of 3 degrees of freedom articulated robotic m... more In this paper, the modeling, simulation and control of 3 degrees of freedom articulated robotic manipulator have been studied. First, we extracted kinematics and dynamics equations of the mentioned manipulator by using the Lagrange method. In order to validate the analytical model of the manipulator we compared the model simulated in the simulation environment of Matlab with the model was simulated with the SimMechanics toolbox. A sample path has been designed for analyzing the tracking subject. The system has been linearized with feedback linearization and then a PID controller was applied to track a reference trajectory. Finally, the control results have been compared with a nonlinear PID controller.
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Papers by Hossein Sadegh Lafmejani