scholarly journals Fractional Order Sliding Mode Control Design for a Buck Converter Feeding Resistive Power Loads

2020 ◽  
Vol 7 (4) ◽  
pp. 649-658
Author(s):  
Nasim Ullah
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Fractional Order ◽  
Pid Control ◽  
Sliding Mode ◽  
Voltage Regulation ◽  
Buck Converter ◽  
Mode Control ◽  
Power Load ◽  
Micro Grid

Standalone DC micro-grid requires highly efficient power converters with high performance robust controllers. This research work deals with the hardware implementation of a load side buck converter and its control system integrated in a DC micro-grid system. This paper presents a novel fractional order sliding mode control (FSMC) method for voltage regulation of a buck converter feeding a constant power load. FSMC controller is derived based on the average state space model of the buck converter and its stability is verified using Lyapunov theorem. Finally, the FSMC controller is implemented using Arduino mega 2560 processor and the obtained results are compared with classical sliding mode control (SMC), proportional, integral, derivative (PID) control and fractional order PID control system (FOPID under constant and variable resistive loading.

scholarly journals A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2158 ◽  
Author(s):  
Irfan Sami ◽  
Shafaat Ullah ◽  
Zahoor Ali ◽  
Nasim Ullah ◽  
Jong-Suk Ro
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Wind Energy ◽  
Energy Conversion ◽  
Fractional Order ◽  
Sliding Mode ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Wind Energy Conversion ◽  
Mode Control

The doubly fed induction generator (DFIG)-based wind energy conversion systems (WECSs) are prone to certain uncertainties, nonlinearities, and external disturbances. The maximum power transfer from WECS to the utility grid system requires a high-performance control system in the presence of such nonlinearities and disturbances. This paper presents a nonlinear robust chattering free super twisting fractional order terminal sliding mode control (ST-FOTSMC) strategy for both the grid side and rotor side converters of 2 MW DFIG-WECS. The Lyapunov stability theory was used to ensure the stability of the proposed closed-loop control system. The performance of the proposed control paradigm is validated using extensive numerical simulations carried out in MATLAB/Simulink environment. A detailed comparative analysis of the proposed strategy is presented with the benchmark sliding mode control (SMC) and fractional order terminal sliding mode control (FOTSMC) strategies. The proposed control scheme was found to exhibit superior performance to both the stated strategies under normal mode of operation as well as under lumped parametric uncertainties.

scholarly journals Design of Manipulator Control System of Forest Picking Robot Based on Fractional Order PID Sliding Mode Control

2021 ◽  
pp. 132-140
Author(s):  
Lei Shi, Miao Dang
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Fractional Order ◽  
Sliding Mode ◽  
Learning Algorithm ◽  
Nonlinear Approximation ◽  
Euler Method ◽  
Mode Control ◽  
Fractional Order Pid ◽  
Manipulator Control

This paper studies the control system design of forest picking robot manipulator based on fractional PID sliding mode control. In this paper, the structure characteristics, learning algorithm and application of fractional order PID sliding mode control in manipulator control are analyzed. In this paper, the nonlinear approximation property of fractional order PID sliding mode control is theoretically verified. This paper analyzes the basic structure of picking manipulator system in detail. At the same time, the Lagrange Euler method is used to deduce the dynamic equation of the two degree of freedom series manipulator, and the inertia characteristics, Coriolis force and centripetal force characteristics, heavy torque characteristics are analyzed. The nonlinear system model of manipulator based on S-function is established in MATLAB, and the dynamic model is transformed into the form of second-order differential equation to facilitate the introduction of the designed algorithm.

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