Particle Swarm Optimized Fuzzy Controller for Luo Converter

Computers, Materials & Continua, 2022

An excessive use of non-linear devices in industry results in current harmonics that degrades the power quality with an unfavorable effect on power system performance. In this research, a novel control techniquebased Hybrid-Active Power-Filter (HAPF) is implemented for reactive power compensation and harmonic current component for balanced load by improving the Power-Factor (PF) and Total-Hormonic Distortion (THD) and the performance of a system. This work proposed a soft-computing technique based on Particle Swarm-Optimization (PSO) and Adaptive Fuzzy technique to avoid the phase delays caused by conventional control methods. Moreover, the control algorithms are implemented for an instantaneous reactive and active current (I d-I q) and power theory (Pq0) in SIMULINK. To prevent the degradation effect of disturbances on the system's performance, PS0-PI is applied in the inner loop which generate a required dc link-voltage. Additionally, a comparative analysis of both techniques has been presented to evaluate and validate the performance under balanced load conditions. The presented result concludes that the Adaptive Fuzzy PI controller performs better due to the non-linearity and robustness of the system. Therefore, the gains taken from a tuning of the PSO based PI controller optimized with Fuzzy Logic Controller (FLC) are optimal that will detect reactive power and harmonics much faster and accurately. The proposed hybrid technique minimizes distortion by selecting appropriate switching pulses for VSI (Voltage Source Inverter), and thus the simulation has been taken in SIMULINK/MATLAB. The proposed technique gives better tracking performance and robustness for reactive power compensation and harmonics mitigation. As a result of the comparison, it can be concluded that the PSO-based Adaptive Fuzzy PI system produces accurate results with the lower THD and a power factor closer to unity than other techniques.

The positive output triple lift Luo converter is a newly developed advanced DC‐DC converter. The object of this paper is to design and analyze a Fuzzy Logic Controller for positive output triple lift Luo converter (POTLLC). Fuzzy logic is recently increasing emphasis in process control applications. Properties of the proposed controllers are: 1) robustness around the operating point, 2) good performance of transient responses under varying loading conditions and/or input voltage, and 3) invariant dynamic performance in the presence of varying operating conditions. The positive output triple lift Luo converter performs the voltage conversion from positive source voltage to positive load voltage. The simulation model of the positive output triple lift Luo converter with its control circuit was developed in Matlab/Simulink.

IEEE Access, 2022

This paper proposes a novel particle swarm optimization (PSO) algorithm based fuzzy logic controller (FLC) for improving the performance of automatic solid-state transfer switch (SSTS) with respect to transfer time. The proposed technique generates adaptive membership functions (MFs) of voltage error and rate of change of voltage error for input and output based on the fitness function formulated by the PSO. An optimal PSO-based FLC (PSOF) fitness function is further employed to tune and minimize the mean absolute error (MAE) to improve the performance of the load transfer in a short duration. Results obtained from the proposed PSOF are compared with those obtained with the conventional FLC to validate the developed controller. It is observed that the proposed PSOF optimized controller can transfer the load faster than the conventional FLC controller. The accuracy of the developed PSOF is illustrated and investigated via simulation tests for SSTS in the IEEE 9-bus system. It can be concluded that the PSOF controller is better than the only fuzzy controller in all tested cases in terms of transfer time. INDEX TERMS Automatic solid-state transfer switch, fuzzy control, optimization algorithm, power transfer, load transfer, power system faults.

Electrotehnica, Electronica, Automatica, 2020

This paper deals with the design, simulation, and real-time implementation of a new Takagi-Sugeno (T-S) fuzzy tracking control for a DC-DC boost converter using Arduino mega and MATLAB/Simulink environment. The developed controller can drive the output voltage of the boost converter to perfectly track a reference voltage, taking into account variations in load or input voltage. Firstly, a T-S model with four fuzzy rules is developed to represent exactly the dynamic behaviour of the nonlinear boost converter, which is investigated to develop a new control scheme based on a combined methodology of fuzzy control and particle swarm optimization (PSO) technique. In this context, a two-stage design procedure is developed to determine the fuzzy stabilizing control gains by solving a set of linear matrix inequalities (LMIs) and to determine an integral control gain and a reference scaling factor using PSO algorithm. A real-time implementation of the proposed controller is carried out using an Arduino Mega and spatial Simulink package known as "Simulink support package for Arduino hardware". Simulation and experimental results show that the proposed controller offers a fast dynamic response and better performance in terms of accuracy and limitation of overshoot compared to the baseline Proportional-Integral (PI) controller.

IEEE Transactions on Industrial Electronics, 2005

Recently, there has been an increase in the application of fuzzy logic controllers (FLCs) for control of power electronic converters. Due to the FLCs' complex algorithm, their realization often calls for a compromise between cost and performance. In this paper, it is shown that the rule table of most of the two-input FLCs used with power converters can be approximated into a single nonlinearity. This allows the controller to be easily realized using simple, fast, and inexpensive analog circuits. The simplified "nonlinear function controller (NLFC)" developed in this manner is shown to be equivalent in performance to the original FLC through simulations. The NLFC concept is then applied to PI-FLC, a type of FLC popular in power converter control applications. This results in the PI-FLC being replaced by a simple "nonlinear PI controller (NPIC)." Using this simplification, the design of NPICs to obtain good dynamic performance in power converters is explained. An example design of NPIC for controlling a dc-dc boost power converter is presented. Experimental results are also presented to demonstrate the superior dynamic performance of the converter with NPIC versus that of a linear-PI controller.

Multi converter -Unified power quality conditioner (MC-UPQC) is one of the new power electronics devices that are used for enhancing the PQ. This paper presents a new unified power-quality conditioning system (MC-UPQC), capable of simultaneous compensation for voltage and current in multibus/multifeeder systems. In this configuration, one shunt voltage-source converter (shunt VSC) and two or more series VSCs exist. The system can be applied to adjacent feeders to compensate for supply-voltage and load current imperfections on the main feeder and full compensation of supply voltage imperfections on the other feeders. In the proposed configuration, all converters are connected back to back on the dc side and share a common dc-link capacitor. sharing with one DC link capacitor. The discharging time of DC link capacitor is very high, and so it is the main problem in MC-UPQC device. To eliminate this problem, an enhanced Neuro-fuzzy controller (NFC) based MC-UPQC is proposed in this paper. NFC is the combination of neural network (NN) based controller and fuzzy logic controller (FLC). Initially, the error voltage and change of error voltage of a nonlinear load is determined. Then the voltage variation is applied separately to FLC and NN-based controller. In order to regulate the dc-link capacitor voltage, Conventionally, a proportional controller (PI) is used to maintain the dc-link voltage at the reference value. The transient response of the PI dc-link voltage controller is slow. So, a fast acting dc-link voltage controller based on the energy of a dc-link capacitor is proposed. The transient response of this controller is very fast when compared to that of the conventional dc-link voltage controller. By using fuzzy logic controller instead of the PI controller the transient response is improved. The DC capacitor charging output voltage is increased and

In the field of control engineering, the most important aspect is the designing of controller. Artificial intelligence plays an important in designing of controllers. The artificial intelligent controllers may replace the conventional controllers. In this paper we used an intelligent fuzzy logic controller which is tuned with the particle swarm optimization (PSO). The performance of this controller is compared with conventional one with an objective to have a good time response. From the simulation results obtained with example system(s) it is found that the responses with fuzzy logic controllers (FLC), when compared those obtained with proportional integral derivative (PID) controller, are superior in terms of rise time, settling time and percent overshoot.

Particle Swarm Optimization (PSO) is proposed in this paper to generate a Fuzzy Controller. The fuzzy logic control (FLC) is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. As results indicated, using particle swarm optimization (PSO) method for optimizing a fuzzy logic controller (FLC) for a photovoltaic (PV) is better than the fuzzy logic control (FLC) not optimized.

Positive output Luo converters are a series of new DC-DC step-up (boost) converters, which were developed from prototypes using voltage lift technique. These converters perform positive to positive DC-DC voltage increasing conversion with high power density, high efficiency and cheap topology in simple structure. They are different from other existing DC-DC step-up converters with a high output voltage and small ripples. Triple lift LUO circuit is derived from positive output elementary Luo converter by adding the lift circuit three times. Due to the time varying and switching nature of the Luo converters, their dynamic behaviour becomes highly non-linear. The classical control methods employed to design the controllers for Luo converters depend on the operating point so that it is very difficult to select control parameters because of the presence of parasitic elements, time varying loads and variable supply voltages. Conventional controllers require a good knowledge of the system and accurate tuning in order to obtain the desired performances. A fuzzy logic controller is a soft computing technique which neither requires a precise mathematical model of the system nor complex computations. The performances of the Triple-lift Luo converter with fuzzy logic controller are evaluated under line and load disturbances using Matlab-Simulink based simulation. The results are presented and analyzed.

Computers & Electrical Engineering

DC-DC converters are commonly used in industrial drives. A positive-output elementary super lift Luo converter (POESLLC) provides efficient output compared to the conventional DC-DC converter. The control strategy is developed by considering the effects of source resistance and variation in the non-linearity of the inductor and capacitor during charging and discharging periods by performing state-space average modelling for POESLLC. The developed transfer function for POESLLC is analysed by various duty cycles, inductor values, and capacitor values. The pole-zero map indicates that the system is unstable. A compensator and a proportional integral derivative (PID) controller are designed for the stable operation of the system. It is found that the use of a compensator provides better settling time as compared to the PID controller.