Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

Scheduling of tasks based on real time requirement is a major issue in the heterogeneous multicore systemsfor micro-grid power management . Heterogeneous multicore processor schedules the serial tasks in the high performance core and parallel tasks are executed on the low performance cores. The aim of this paper is to implement a scheduling algorithm based on fuzzy logic for heterogeneous multicore processor for effective micro-grid application. Real – time tasks generally have different execution time and dead line. The main idea is to use two fuzzy logic based scheduling algorithm, first is to assign priority based on execution time and deadline of the task. Second , the task which has assigned higher priority get allotted for execution in high performance core and remaining tasks which are assigned low priority get allotted in low performance cores. The main objective of this scheduling algorithm is to increase the throughput and to improve CPU utilization there by reducing the overall power consumption of the micro-grid power management systems. Test cases with different task execution time and deadline were generated to evaluate the algorithms using MATLAB software.

Improving the performance of fair share scheduling algorithm using fuzzy logic

Proceedings of the International Conference on Advances in Computing, Communication and Control - ICAC3 '09 ◽

10.1145/1523103.1523216 ◽

2009 ◽

Cited By ~ 3

Author(s):

Bashir Alam ◽

M. N. Doja ◽

R. Biswas

Keyword(s):

Fuzzy Logic ◽

Scheduling Algorithm ◽

Fair Share

Multiconstraints fuzzy-logic-based scheduling algorithm for passive optical networks

Journal of Optical Networking ◽

10.1364/jon.8.000346 ◽

2009 ◽

Vol 8 (4) ◽

pp. 346 ◽

Cited By ~ 8

Author(s):

R. Razavi ◽

K. Guild

Keyword(s):

Fuzzy Logic ◽

Optical Networks ◽

Scheduling Algorithm ◽

Passive Optical Networks

Fuzzy Logic Based MPPT Controller for PV Panel

Algorithms for Intelligent Systems - Advances in Machine Learning and Computational Intelligence ◽

10.1007/978-981-15-5243-4_46 ◽

2020 ◽

pp. 501-510

Author(s):

Mahesh Kumar ◽

Krishna Kumar Pandey ◽

Amita Kumari ◽

Jagdish Kumar

Keyword(s):

Fuzzy Logic ◽

Pv Panel ◽

Mppt Controller

Fuzzy Logic Method Based MPPT Controller for Solar Energy Generation

10.1007/978-981-16-4149-7_5 ◽

2021 ◽

pp. 41-53

Author(s):

Sunny Deol ◽

Shrawan Ram Patel ◽

Tanupriya Choudhury

Keyword(s):

Fuzzy Logic ◽

Solar Energy ◽

Energy Generation ◽

Fuzzy Logic Method ◽

Mppt Controller ◽

Logic Method

Fuzzy logic based MPPT controller for a small wind turbine system

2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) ◽

10.1109/optim.2012.6231936 ◽

2012 ◽

Cited By ~ 6

Author(s):

Diana Petrila ◽

Frede Blaabjerg ◽

Nicolae Muntean ◽

Cristian Lascu

Keyword(s):

Fuzzy Logic ◽

Wind Turbine ◽

Small Wind Turbine ◽

Wind Turbine System ◽

Mppt Controller

Fuzzy logic control of a novel robotic hanger for garment inspection: Modeling, simulation and experimental implementation

Expert Systems with Applications ◽

10.1016/j.eswa.2011.02.037 ◽

2011 ◽

Vol 38 (8) ◽

pp. 9924-9938 ◽

Cited By ~ 3

Author(s):

E.H.K. Fung ◽

Y.K. Wong ◽

X.Z. Zhang ◽

L. Cheng ◽

C.W.M. Yuen ◽

...

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Control ◽

Modeling Simulation ◽

Logic Control ◽

Experimental Implementation

Fuzzy Sliding Mode Control of Plate Vibrations

Shock and Vibration ◽

10.1155/2010/952928 ◽

2010 ◽

Vol 17 (1) ◽

pp. 71-92 ◽

Cited By ~ 4

Author(s):

Manu Sharma ◽

S.P. Singh

Keyword(s):

Fuzzy Logic ◽

Sliding Mode Control ◽

Real Time ◽

Sliding Mode ◽

Test Plate ◽

Fuzzy Sliding Mode Control ◽

Control Approach ◽

Mode Control ◽

Experimental Implementation ◽

Fuzzy Sliding Mode

In this paper, fuzzy logic is meshed with sliding mode control, in order to control vibrations of a cantilevered plate. Test plate is instrumented with a piezoelectric sensor patch and a piezoelectric actuator patch. Finite element method is used to obtain mathematical model of the test plate. A design approach of a sliding mode controller for linear systems with mismatched time-varying uncertainties is used in this paper. It is found that chattering around the sliding surface in the sliding mode control can be checked by the proposed fuzzy sliding mode control approach. With presented fuzzy sliding mode approach the actuator voltage time response has a smooth decay. This is important because an abrupt decay can excite higher modes in the structure. Fuzzy rule base consisting of nine rules, is generated from the sliding mode inequality. Experimental implementation of the control approach verify the theoretical findings. For experimental implementation, size of the problem is reduced using modal truncation technique. Modal displacements as well as velocities of first two modes are observed using real-time kalman observer. Real time implementation of fuzzy logic based control has always been a challenge because a given set of rules has to be executed in every sampling interval. Results in this paper establish feasibility of experimental implementation of presented fuzzy logic based controller for active vibration control.