Fuzzy Adaptive Back-Stepping Sliding Mode Controller for High-Precision Deflection Control of the Magnetically Suspended Momentum Wheel

2018 ◽  
Vol 65 (4) ◽  
pp. 3530-3538 ◽  
Author(s):  
Yuanjin Yu ◽  
Zhaohua Yang ◽  
Chao Han ◽  
Hu Liu
Keyword(s):  
High Precision ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Fuzzy Adaptive

Fuzzy Adaptive Sliding Mode Control Based on Fuzzy Compensation for Ammunition Auto-Loading Robot

2013 ◽  
Vol 816-817 ◽  
pp. 363-366
Author(s):  
Yu Feng Li ◽  
Kui Wu Li ◽  
Yu Tian Pan ◽  
Bao Quan Guo
Keyword(s):  
Control System ◽  
Fuzzy Systems ◽  
Sliding Mode ◽  
Adaptive Sliding Mode Control ◽  
Sliding Mode Controller ◽  
Disturbance Compensation ◽  
Adaptive Sliding Mode ◽  
Adaptive Sliding Mode Controller ◽  
Simulation Results ◽  
Fuzzy Adaptive

A new fuzzy adaptive sliding mode controller based on fuzzy compensation for robot is proposed. The control architecture employs fuzzy systems to compensate adaptively for plant uncertainties to distinguish different disturbance compensation terms and approximate each of them respectively. By analyzing and comparing the simulation results, it is obviously shown that the control system can lighten the effect on the control system caused by different disturbance factors and eliminate the system chattering than that of traditional SMC.

scholarly journals Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

2018 ◽  
Vol 8 (5) ◽  
pp. 2883
Author(s):  
Mohamed Habbab ◽  
Abdeldjebar Hazzab ◽  
Pierre Sicard
Keyword(s):  
Sliding Mode Control ◽  
Real Time ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Motor Speed ◽  
Time Data ◽  
Inference System ◽  
Mode Control ◽  
Fuzzy Adaptive

<p>In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely carried out using a dSPACE DS1104 digital signal processor based real-time data acquisition control system, and MATLAB/Simulink environment. Digital experimental results show that the proposed controller can not only attenuate the chattering extent of the adaptive PI-sliding mode controller but can provide high-performance dynamic characteristics with regard to plant external load disturbance and reference variations. </p>

scholarly journals Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

2018 ◽  
Vol 8 (5) ◽  
pp. 2884
Author(s):  
Mohamed Habbab ◽  
Abdeldjebar Hazzab ◽  
Pierre Sicard
Keyword(s):  
Sliding Mode Control ◽  
Real Time ◽  
Digital Signal Processor ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Motor Speed ◽  
Time Data ◽  
Inference System ◽  
Mode Control ◽  
Fuzzy Adaptive

<p>In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely carried out using a dSPACE DS1104 digital signal processor based real-time data acquisition control system, and MATLAB/Simulink environment. Digital experimental results show that the proposed controller can not only attenuate the chattering extent of the adaptive PI-sliding mode controller but can provide high-performance dynamic characteristics with regard to plant external load disturbance and reference variations. </p>

Frequency stability analysis with fuzzy adaptive selfish herd optimization based optimal sliding mode controller for microgrids

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Narendra Kumar Jena ◽  
Subhadra Sahoo ◽  
Binod Kumar Sahu ◽  
Kanungo Barada Mohanty
Keyword(s):  
Sliding Mode ◽  
Frequency Control ◽  
Sliding Mode Controller ◽  
Selfish Herd ◽  
Change Communication ◽  
Distributed Generators ◽  
Load Change ◽  
Pi Controllers ◽  
The Stability ◽  
Fuzzy Adaptive

Abstract This article articulates the frequency control in an isolated microgrid (MG) under a centralized secondary controller. The penetration of distributed generators (DGs) which are weather dependant, and some of them are inertia less cause the instability in the MG. Besides this, unusual/abrupt load change, communication delay, and parameter change uncertainties make the MG more unstable. So, to restore the stability of the MG a sliding mode controller (SMC) is employed. The design of the SMC is carried by selfish herd optimization (SHO) algorithm. To validate the performance of SHO-SMC controller, it is compared with the results obtained by GOA-FOPID-(1+PI), SHO-PID, SHO- FOPID, and SHO-FOPID-(1+PI) controllers. Further, to establish an ameliorated dynamic response of the MG, SHO is modified by applying fuzzy logic named as fuzzy adaptive SHO (FA-SHO). In addition to this, in a two area MG, the potential of SHO/FA-SHO SMC controllers over SHO-SMC, and SHO/FA-SHO FOPID-(1+PI) controllers has been examined. Finally, with some crucial intermittent uncertainties like abrupt load change, time delay, and parameter variation, the robustness of the proposed controller is established.

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