Comparative Analysis of Fuzzy Logic and PI Controller Based Electronic Load Controller for Self-Excited Induction Generator (original) (raw)
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Electronic Load Controller for Self Exited Induction Generator Using Fuzzy Logic Controller
This paper deals with the electronic load controller for self exited induction generator using fuzzy logic controller. The self-excited induction generators (SEIGs) are considered to be well suited for generating electricity by means of conventional energy sources and for supplying electrical energy in remote and rural areas. Induction generators have many advantages such as cost, reduced maintenance, rugged, and simple construction, brushless rotor (squirrel cage). A three phase induction generator can be operated on a delta connection for supplying single phase loads. The main disadvantage of SEIG has is that it poor voltage regulation, and its value depends on the prime mover speed, capacitance, load current and power factor of the load. The electronic load controller (ELC) can be used for maintaining constant voltage and frequency of SEIG with variable consumer load driven by constant prime mover. This paper presents the simulation design and implementation of ELC using fuzzy logic method for an SEIG feeding single-phase load. The ELC consist of a rectifier, IGBT as a chopper switch, PI controller, voltage sensor, and resistive dump load in which power consumption was varied through the duty cycle of the chopper. However an ELC consist of electronics system, in general, has complex nonlinear model with parameter variation problem, and the control need to be very fast. The fuzzy logic based controller gives nonlinear control with fast response and virtually no overshoot. The simulation of ELC for self exited induction generator is carried out on MATLAB/SIMULINK. By this proposed ELC using FLC for SEIG we can maintain the constant voltage and frequency of SEIG with variable consumer load.
"""Abstract— The self-excited induction generators (SEIGs) are considered to be well suited for generating electricity by means of conventional energy sources and for supplying electrical energy in remote and rural areas. Induction generators have many advantages such as cost, reduced maintenance, rugged, and simple construction, brushless rotor (squirrel cage). A three-phase induction generator can be operated on a C-2C connection for supplying single phase loads. The main disadvantage of SEIG has is that it poor voltage regulation, and its value depends on the prime mover speed, capacitance, load current and power factor of the load. The electronic load controller (ELC) can be used for maintaining constant voltage and frequency of SEIG with variable consumer load driven by constant primer mover. This paper presents the design and implementation of a digitally controlled ELC using fuzzy logic method based microcontroller for an SEIG feeding single-phase load. The ELC consist of a rectifier, MOSFET as a chopper switch, ATMega32 micro-controller, voltage sensor, opto-coupler, and resistive dump load in which power consumption was varied through the duty cycle of the chopper. However an ELC consist of electronics system, in general, has complex nonlinear model with parameter variation problem, and the control need to be very fast. The fuzzy logic based controller gives nonlinear control with fast response and virtually no overshoot. The proposed ELC has been tested by step change in the consumer load. The simulated perfomance of the controller is supplmented by experimental results. Keywords— Electronic load controller (ELC), Self excited induction generator (SEIG), Fuzzy logic, Microcontroller"
Smart Grid and Renewable Energy, 2022
This study presents an intelligent approach for load frequency control (LFC) of small hydropower plants (SHPs). The approach which is based on fuzzy logic (FL), takes into account the non-linearity of SHPs-something which is not possible using traditional controllers. Most intelligent methods use twoinput fuzzy controllers, but because such controllers are expensive, there is economic interest in the relatively cheaper single-input controllers. A nonlinear control model based on one-input fuzzy logic PI (FLPI) controller was developed and applied to control the non-linear SHP. Using MATLAB/Simulink SimScape, the SHP was simulated with linear and non-linear plant models. The performance of the FLPI controller was investigated and compared with that of the conventional PI/PID controller. Results show that the settling time for the FLPI controller is about 8 times shorter; while the overshoot is about 15 times smaller compared to the conventional PI/PID controller. Therefore, the FLPI controller performs better than the conventional PI/PID controller not only in meeting the LFC control objective but also in ensuring increased dynamic stability of SHPs.
AN AUTONOMOUS FUZZY CONTROLLED INDUCTION GENERATOR SYSTEM WITH VOLTAGE REGULATION
lti.pcs.usp.br
Abstract This paper discusses an Induction Generator (IG) system that provides regulated voltage at any load condition. It utilizes the classical self-excitation principle but, in addition to that, it makes use of a current regulated PWM inverter to control the output voltage magnitude. It is primarily intended for micro hydro plants to be used in rural areas, where the cost of conventional distribution system is high, and the water resources are available to drive an unregulated low head turbine. The proposed topology is presented, followed by an analysis of the control structure. The methodology is validated via simulation studies using classic PI controllers and experimental studies using both PI and Fuzzy logic based controllers.
Fuzzy Algorithm for Supervisory Control of Self-Excited Induction Generator
Journal of King Abdulaziz University-Engineering Sciences, 2006
This paper presents an application of Fuzzy Logic Controller (FLC) to regulate the reactive-power of the Self Excited Induction Generator (SEIG) driven by Wind Energy Conversion Schemes (WECS). The proposed FLC is used to tune the integral gain (K I ) of Proportional plus Integral (PI) controller. Two types of controls, for the generator and the wind turbine, using FLC algorithm have been introduced in this paper. The reactive-power control is performed to adapt the terminal voltage via self excitation. The active-power control is conducted to adjust the stator frequency through tuning the pitch angle of WECS blades. Both controllers utilize the Fuzzy technique to enhance the overall dynamic performance. The simulation result depicts a better dynamic response for the system under study during the starting period, and load variation. The percentage overshoot, rising time and oscillation are improved by the fuzzy controller compared to that with PI controller type.
Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller
International Journal of Power Electronics and Drive Systems (IJPEDS)
Generally, Electronic Load Control (ELC) used in micro hydro power plant (MHPP) to controls the voltage between consumer load and a dummy load, still detects one parameter voltage or frequency generator only. Whereas in reality, any changes in the load on consumers, generator voltage and frequency also changed. When the consumer load down the electric current will be supplied to the dummy load, amounting to decrease in consumer load. When there is a transfer load, there will be distortion voltage and frequency, thus a special methods to reduce distortions by speeding up the process of transferring the electric load is needed. The proposed of this study is using fuzzy logic algorithm.To realize such a system, a comparison tool model of load control digital electronic fuzzy logic controller (FLC) and Proportional Integrator (PI) is required. This modeling using matlab program to simulate, the simulation result shows that the ELC based on fuzzy logic controller is better than conventi...
PI and Fuzzy DC Voltage Control For Wind Pumping System using a Self-Excited Induction Generator
2016
Self excited induction generator has become very popular for generating power from renewable energy source in isolated areas, Their main disadvantage is poor voltage regulation under varying speed and load condition, This paper present indirect vector control strategy using DC voltage regulators proportional integral (PI), classical and Fuzzy, applied to the wind pomping system using a Self-excited induction generator (SEIG ), The comparison between the two methods under the same conditions is illustrated by simulations. Key-Words: Wind pumping system, DC motor pump, Self-excited Induction generator, PI controller, Fuzzy logic controller.
Arabian Journal for Science and Engineering, 2012
This paper introduces a new hybrid controller using artificial intelligence (AI) techniques to improve the dynamic performance of the self-excited induction generator "SEIG" driven by wind energy conversion scheme "WECS". The hybrid AI compromises a genetic algorithm (GA) and fuzzy logic controller (FLC). The role of the GA is to optimize the parameters of the fuzzy set to ensure a better dynamic performance of the overall system. The proposed controller is developed in two loops of the WECS scheme under study. The first loop is used to regulate the terminal voltage, by adjusting the self-excitation. This controller represents the reactive power control. In this case, the FLC will utilize the error and its change in terminal voltage to regulate the duty cycle of the capacitor bank. The second loop is used to adjust the mechanical power, by adapting the blade angle of WECS. Here, the FLC uses the frequency error and its change to adjust the blade angle of the wind turbine to control the active power input. The simulation results, which cover a wide range of electrical and mechanical disturbances, depict the effectiveness of the proposed controller compared with other AI techniques.
Fuzzy Algorithm for Supervisory Voltage/Frequency Control of a Self Excited Induction Generator
2006
controller. Two types of controls, for the generator and for the wind turbine, using a FLC algorithm, are introduced in this paper. The voltage control is performed to adapt the terminal voltage via self excitation. The frequency control is conducted to adjust the stator frequency through tuning the pitch angle of the WECS blades. Both controllers utilize the Fuzzy technique to enhance the overall dynamic performance. The simulation result depicts a better dynamic response for the system under study during the starting period, and the load variation. The percentage overshoot, rising time and oscillation are better with the fuzzy controller than with the PI controller type.
Design of a Load Frequency Controller of a Micro Hydro Power Plant using Fuzzy Logic Control
Final Year Project Research Paper, 2021
Micro Hydro-Power Plants are a dependable solution for serving small community power customers in places that are not saved by the national distribution network. Controlling the frequency of the generated electricity, on the other hand, is one of the primary issues in micro hydro power plants in order to maintain frequency and voltage outputs constant regardless of load variation. A comprehensive literature review on micro hydro power plant load frequency control was carried out in this research study. The paper also presents a successfully designed effective fuzzy controller and fuzzy supervisor for automatic control of power generation and electricity distribution. The optimal fuzzy membership functions of the fuzzy based controllers were determined using Genetic Algorithm. Also, a micro hydro power plant model was developed in MatLab Simulink and used in testing the effectiveness of the designed controllers through various simulations and the results were presented in this research paper. The paper also presents results of a comparison of the former PI controller and the developed fuzzy controller based on overshoot and settling time of the system response when exposed to a disturbance.