scholarly journals PV-Hess Based Zeta Converter for BLDC Motor Drive using Fuzzy Logic Controller

2020 ◽  
Vol 9 (3) ◽  
pp. 1455-1460
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Optimization Technique ◽  
Atmospheric Condition ◽  
Energy Storage System ◽  
System Stability ◽  
Bldc Motor ◽  
Pv System ◽  
Mobile Industry

The growing importance of non conventional energy in the auto mobile industry needs the use of brushless DC (BLDC) motor drives the solar photo voltaic (PV). To overcome the disadvantages in the conservative DC-DC converters, Zeta converter is used to optimize power handling through controlling of duty cycle. To mitigate changes in output of PV, the Hybrid Energy Storage System (HESS) is implemented into the PV system to maintain a constant voltage at the BLDC motor input. The PV-HESS system is controlled correctly by a robust power management algorithm. The Zeta converter can meet the smooth performance of the system by using particle swarm optimization technique of maximum power point tracking. By placing set of rules in the FLC controller we get the system stability faster than existed controller. The performance of the fuzzy logic controller built was demonstrated in terms of atmospheric condition changes using MATLAB/ Simulink

scholarly journals Design of Robust Fuzzy Logic Controller Based on the Levenberg Marquardt Algorithm and Fault Ride Trough Strategies for a Grid-Connected PV System

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 429 ◽  
Author(s):  
Islam ◽  
Zeb ◽  
Din ◽  
Khan ◽  
Ishfaq ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fault Tolerant ◽  
Optimization Technique ◽  
Line Length ◽  
Photovoltaic System ◽  
Pv System ◽  
Simulink Model ◽  
Marquardt Algorithm ◽  
Levenberg Marquardt

This paper emphasizes the design and investigation of a new optimization scheme for a grid-connected photovoltaic system (PVS) under unbalance faults. The proposed scheme includes fuzzy logic controller (FLC) based on the Levenberg–Marquardt (LM) optimization technique in coordination with bridge-type-fault-current limiter (BFCL) as the fault ride through (FRT) Strategy. The LM optimization-based control is an iterative process with a fast and robust response and is always convergent. The BFCL reduces the fault currents to rated values without compromising at ripples. A keen and critical comparison of the designed strategy is carried out with a conventionally tuned proportional-integral (PI) controller in coordination with the crowbar FRT strategy. A 100kW MATLAB/Simulink model of a photovoltaic system is used for simulation and analysis of unbalance faults at the point of common-coupling (PCC) and at 5 km away from PCC. It is found that grid-connected PVS is highly influenced by the fault type and less effected by the distribution line length. The simulation results authenticated smooth, stable, ripples with free, robust, and fault-tolerant behavior of the proposed scheme.

scholarly journals PI and Fuzzy Controller Utilizing PV-HESS Based Zeta Converter for BLDC Motor Drive

2020 ◽  
Vol 8 (5) ◽  
pp. 1981-1986
Keyword(s):  
Power Management ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Storage System ◽  
Early Modern Period ◽  
Electrical Energy ◽  
Maximum Power ◽  
Bldc Motor ◽  
Pv System ◽  
Mobile Industry

Due to speedy enfeeblement of finite resources in the early modern period of development, non conventional resources of energy, are being focused in various countries to reach the growing demand of electrical energy. Increased importance of non conventional energy in the auto mobile industry needs the use of brushless DC (BLDC) motor drives to fuel solar photo voltaic (PV). To overcome the disadvantages in the conservative DC-DC converters, Zeta converters are enterprising to optimize power processing. By regulating the duty cycle of the Zeta converter through particle swam optimization (PSO) we obtain the maximum power from PV array. To mitigate changes in output of PV, the Hybrid Energy Storage System (HESS) is implemented into the PV system to maintain a continuous voltage at the BLDC motor input. The robust power management algorithm controls the PV-HESS system .By keeping the power management of maximum power point tracking the Zeta converter can meet the trouble free performance of the system. The interpretation of the BLDC motor with zeta converter relic verified using proportional integral(pi) and fuzzy logic(FL) controller. Design method and parametric analysis is carried out in MATLAB simulation and results are validated.

Wavelet-Based Time-Frequency Control of a Flywheel Energy Storage System

2016 ◽  
Author(s):  
Colby Lewallen
Keyword(s):  
Fuzzy Logic ◽  
Pid Controller ◽  
Degrees Of Freedom ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Storage System ◽  
Energy Storage System ◽  
Flywheel Energy Storage System ◽  
Time Frequency ◽  
Average Current

The objective of this paper was to implement a novel controller called “wavelet-based time-frequency control” (WFXLMS) in a computer simulation of a FES system with six degrees-of-freedom and compare its dynamic stability and active power consumption with the following conventional controllers: PID and fuzzy-logic. Specifically, all three controllers were applied to a FES system operating at 100,000 rpm, and the amplitude of vibration, rate of convergence, and current draw were compared. As of writing this paper, the PID and fuzzy-logic controllers have converged but the WFXLMS controller has not. The parameter values for the WFXLMS controller need further tweaking for a more comprehensive analysis. Despite this setback, both the fuzzy-logic and PID controllers did demonstrate convergence at 100,000 rpm. The fuzzy-logic converged immediately and the PID converged around 0.8 seconds. The PID demonstrated a periodic motion about the z axis while the fuzzy-logic settled at a constant displacement. Finally, the PID controller had a smaller maximum and average current draw over the fuzzy-logic. In conclusion, the PID controller provided sufficient control of the system with the least amount of current draw, but the fuzzy-logic controller provided the steadiest response.

scholarly journals Microgrids Connected to the Residential grid for Energy Management Utility Fuzzy Logic Controller Employed Hybrid Electric Vehicles

2019 ◽  
Vol 8 (6S2) ◽  
pp. 113-117 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Electric Energy ◽  
Energy Storage System ◽  
Energy Sources ◽  
Pv Panel ◽  
Hybrid Electric

In our research design presents the model of managing the energy for residential purpose and for hybrid vehicle simultaneously. This system integrated with reusable energy storage system such as PV panel and battery. Our energy management system approaches the goal to satisfy power needed and to minimize the fluctuation in power microgrid. We designed the model with the fuzzy logic controller in order to optimize the microgrid power constantly. The energy sources retrieved and given to hybrid electric vehicle and residential purpose. Now a day’s most of the vehicles are hybrid mostly runs on either in fuel or by electric energy else by both energy sources. In order to achieve the maximum power throughput, we proposed the bidirectional converter is connected with PV panel and microgrid. The designed fuzzy logic controller to manage the lifetime of battery and to provide the constant discharge. The entire vehicle setup module is connected to microgrid

scholarly journals Modeling and analysis of hybrid controller by combining MFB with FLC implemented to ultracapacitor-based electric vehicle

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Electric Motor ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Logic Controller ◽  
Storage System ◽  
Energy Storage System ◽  
Smooth Transition ◽  
Energy Management Strategy ◽  
Control Approach

An optimized energy management strategy is designed for a hybrid energy storage system (HESS) to drive the hybrid electric vehicle (HEV) / electric vehicle (EV). Combination of battery and Ultra-Capacitor (UC) forms the HESS for an HEV / EV which will enhance the acceleration performance of the electric motor, reduced battery charge-discharge cycle and improves the driving range. The main aim of the proposed method is to design a control approach for automatic smooth switching between sources of HESS corresponding to the speed of the motor. To achieve the main objective, a new controller is designed with four math functions and programmed separately corresponding to the speed of the motor termed as MFB controller. The fuzzy logic controller is used to obtain the controlled gate pulses for Uni-directional (UDC) and Bi-directional (BDC) converters, those are placed at the battery and UC end. The MFB and Fuzzy logic controllers work together to attain a smooth transition between the battery and UC related to the speed of the electric motor. Finally, the effectiveness of the control strategy is validated with four modes of operation in MATLAB/Simulink.

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