Type 2 fuzzy logic-based robust control strategy for power sharing in microgrids with uncertainties in operating conditions

2016 ◽  
Vol 27 (4) ◽  
pp. e2294 ◽  
Author(s):  
Krishnama Raju Suraparaju ◽  
Gopinath Pillai
Keyword(s):  
Fuzzy Logic ◽  
Robust Control ◽  
Control Strategy ◽  
Operating Conditions ◽  
Power Sharing

scholarly journals Type-2 Fuzzy Logic Controller of a Doubly Fed Induction Machine

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Keltoum Loukal ◽  
Leila Benalia
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Induction Machine ◽  
Operating Conditions ◽  
Control Laws ◽  
Doubly Fed Induction Machine ◽  
And Performance ◽  
Doubly Fed ◽  
Interval Type

Interval type-2 fuzzy logic controller (IT2FLC) method for controlling the speed with a direct stator flux orientation control of doubly fed induction motor (DFIM) is proposed. The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases it is proved that their robustness and performance are less sensitive to parameters variation over conventional controllers. The synthesis of stabilizing control laws design based on IT2FLC is developed. A comparative analysis between type-1 fuzzy logic controller (T1FLC) and IT2FLC of the DFIM is shown. Simulation results show the feasibility and the effectiveness of the suggested method to the control of the DFIM under different operating conditions such as load torque and in the presence of parameters variation.

scholarly journals Implementation of Type-2 Fuzzy Logic Controller in PMSM Drives Using DSP

2018 ◽  
Vol 9 (3) ◽  
pp. 1098 ◽  
Author(s):  
Said Wahsh ◽  
Y. Ahmed ◽  
Abo Elzahab
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Digital Signal ◽  
Operating Conditions ◽  
Simulation Results ◽  
Interval Type ◽  
Short Time

This paper presents interval type-2 fuzzy logic (IT2FL) controller applied on a direct torque controlled (DTC) permanent magnet synchronous motor (PMSM), using digital signal processing (DSP). The simulation of PMSM with space vector pulse widths modulation (SVPWM) inverter presented under several operating condition. To verify the simulation results a hard ware setup is prepared and tested at several operating conditions using dspace 1102 DSP model.  The experimental and simulation results are in agreement and the torque dynamic response is very rapid and the system achieves the steady state in a very short time.

scholarly journals Optimization of Threshing Quality Control Strategy Based on Type-2 Fuzzy Logic Controller

2020 ◽  
Vol 26 (2) ◽  
pp. 15-23
Author(s):  
Baoyan Xu ◽  
Xindong Ni ◽  
Yuan Wang ◽  
Yuxiang Wang ◽  
Yehong Liu ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Loss Rate ◽  
Fuzzy Logic Controller ◽  
Field Experiments ◽  
Grain Damage ◽  
Noise Data ◽  
Quality Control Strategy ◽  
Strategy Design

At present, loss rate and grain damage are the most complicated problems for combine harvester. Besides, existing controllers that control threshing quality do not take into account environmental noise, data fluctuations, and other detection factors. In this paper, considering the interference of uncertain factors, a control strategy with low crashed rate and reduced loss rate using type-2 Fuzzy Logic Controller (FLC) is proposed. This control strategy takes threshing separation component as a research object and adopts combination of theory with experimental analysis. Firstly, basic data acquisition experiment of threshing system is designed. Secondly, a control strategy is established by adequately previous filled test data. In the process of control strategy design, Fuzzy Logic Toolbox evaluates the performance of type-2 FLC. Integral of Square Error (ISE) and Integral of the Absolute value of the Error (IAE) show a better performance of type-2 FLC than of type-1 FLC. At last, field experiments are designed to verify the effectiveness of type-2 control strategy. The field test shows that the maximum reduction of grain damage rate and loss rate can reach to 44.08 % and 29.6 %. Experiment results show that the type-2 FLC can significantly reduce loss rate, crashed rate, and improve threshing quality.

Type-2 Fuzzy Logic Control of a Doubly-Fed Induction Machine (DFIM)

2015 ◽  
Vol 4 (4) ◽  
pp. 139 ◽  
Author(s):  
Loukal Keltoum ◽  
Benalia Leila
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Induction Machine ◽  
Operating Conditions ◽  
Logic Control ◽  
Doubly Fed Induction Machine ◽  
Doubly Fed ◽  
Interval Type

The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases have established their robust and that their performance is less sensitive to parameter variations over conventional controllers. In this paper, Interval Type-2 Fuzzy Logic Controller (IT2FLC) method is proposed for controlling the speed with a direct stator flux orientation control of doubly-fed induction motor (DFIM), we made a comparison between the Type-1 Fuzzy Logic Control (T1FLC) and IT2FLC of the DFIM, first a modeling of DFIM is expressed in a (d-q) synchronous rotating frame. After the development and the synthesis of a stabilizing control laws design based on IT2FLC. We use this last approach to the control of the DFIM under different operating conditions such as load torque and in the presence of parameter variation. The obtained simulation results show the feasibility and the effectiveness of the suggested method.

Sign in / Sign up

Export Citation Format

Share Document