Response Based Comparative Analysis of Two Inverter Fed Six Phase PMSM Drive by Using PI and Fuzzy Logic Controller

2016 ◽  
Vol 6 (6) ◽  
pp. 2643 ◽  
Author(s):  
Anurag Singh Tomer ◽  
Saty Prakash Dubey
Keyword(s):  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Sudden Change ◽  
Pi Controller ◽  
Settling Time ◽  
Steady State Current ◽  
Speed Level ◽  
Starting Torque

<p>This Paper gives a complete modeling and simulation of a two inverter fed six phase permanent magnet synchronous motor drive system, Then response based comparative analysis is done on starting torque ,settling time, Steady state current at various speed levels and torque levels by changing  proportional- integral (PI) controller to  Fuzzy logic controller. The PI controller has some disadvantages like, more settling time, sluggish response due to sudden change in load torque etc. So an intelligent controller, based on fuzzy logic is introduced which replaces the PI-controller and its drawbacks. The performance of both the controller has been investigated and studied by comparing the different plots obtained by setting various speed level both incremented and decremented speed  , at different load conditions like No-load, fix load and dynamic load through Matlab/Simulink environment. Finally it is concluded from the result that fuzzy logic based controller is robust, reliable gives quick response with high starting torque and more effective than the conventional PI controller. It is also observed that both the proposed model can also run above rated speed significantally.</p>

scholarly journals Response Based Comparative Analysis of Two Inverter Fed Six Phase PMSM Drive by Using PI and Fuzzy Logic Controller

2016 ◽  
Vol 6 (6) ◽  
pp. 2643
Author(s):  
Anurag Singh Tomer ◽  
Saty Prakash Dubey
Keyword(s):  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Sudden Change ◽  
Pi Controller ◽  
Settling Time ◽  
Steady State Current ◽  
Speed Level ◽  
Starting Torque

<p>This Paper gives a complete modeling and simulation of a two inverter fed six phase permanent magnet synchronous motor drive system, Then response based comparative analysis is done on starting torque ,settling time, Steady state current at various speed levels and torque levels by changing  proportional- integral (PI) controller to  Fuzzy logic controller. The PI controller has some disadvantages like, more settling time, sluggish response due to sudden change in load torque etc. So an intelligent controller, based on fuzzy logic is introduced which replaces the PI-controller and its drawbacks. The performance of both the controller has been investigated and studied by comparing the different plots obtained by setting various speed level both incremented and decremented speed  , at different load conditions like No-load, fix load and dynamic load through Matlab/Simulink environment. Finally it is concluded from the result that fuzzy logic based controller is robust, reliable gives quick response with high starting torque and more effective than the conventional PI controller. It is also observed that both the proposed model can also run above rated speed significantally.</p>

scholarly journals PI Fuzzy Controller of Synchronous Boost Converter for Drug Storage Thermoelectric Cooler

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Alvin Noer Ramadhan ◽  
Novie Ayub Windarko ◽  
Irianto Irianto
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Boost Converter ◽  
Settling Time ◽  
Voltage Regulator ◽  
Set Point ◽  
Drug Storage

Medicines should be stored in a room at a suitable temperature if the inappropriate affect the quality of the drug. Therefore we need a control that can control the temperature in the room so that it is constant in accordance with the rules for room temperature in drug storage, which is 25 degrees Celsius. The following paperwork presents a simulation controller between PI controller and PI-Fuzzy logic controller in adjusting the voltage to match the set of point. Where the fuzzy logic controller automatically searches for the Kp value so that the voltage output of the converter match the desired set of point. Then the converter used is synchronoust boost converter as voltage regulator and peltier as a DC load which functions as a cooler. in this research, the system using  PI controller was able to adjust the voltage to match the set point with Kp is 0.14089 and Ki is 124.6738 then settling time is 0.016 s. While the system using PI-Fuzzy logic controller,it was able to adjust the voltage to match the set point with Kp is 0.08112 and Ki is 125.6738 then settling time is 0.014 s.

STABILISASI TEGANGAN KELUARAN BUCK CONVERTER DENGAN METODE FUZZY LOGIC CONTROLLER

JURNAL ELTEK ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 125
Author(s):  
Oktriza Melfazen
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Rise Time ◽  
Fuzzy Logic Controller ◽  
Buck Converter ◽  
Settling Time

Buck converter idealnya mempunyai keluaran yang stabil, pemanfaatandaya rendah, mudah untuk diatur, antarmuka yang mudah dengan pirantiyang lain, ketahanan yang lebih tinggi terhadap perubahan kondisi alam.Beberapa teknik dikembangkan untuk memenuhi parameter buckconverter. Solusi paling logis untuk digunakan pada sistem ini adalahmetode kontrol digital.Penelitian ini menelaah uji performansi terhadap stabilitas tegangankeluaran buck converter yang dikontrol dengan Logika Fuzzy metodeMamdani. Rangkaian sistem terdiri dari sumber tegangan DC variable,sensor tegangan dan Buck Converter dengan beban resistif sebagaimasukan, mikrokontroler ATMega 8535 sebagai subsistem kontroldengan metode logika fuzzy dan LCD sebagai penampil keluaran.Dengan fungsi keanggotaan error, delta error dan keanggotaan keluaranmasing-masing sebanyak 5 bagian serta metode defuzzifikasi center ofgrafity (COG), didapat hasil rerata error 0,29% pada variable masukan18V–20V dan setpoint keluaran 15V, rise time (tr) = 0,14s ; settling time(ts) = 3,4s ; maximum over shoot (%OS) = 2,6 dan error steady state(ess) = 0,3.

scholarly journals FPGA based Performance Analysis of Speed Control Permanent Magnet Synchronous Motor Drive with Pi and Fuzzy Logic Controller

2020 ◽  
Vol 8 (6) ◽  
pp. 5317-5321
Keyword(s):  
Fuzzy Logic ◽  
Permanent Magnet ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Resistive Load ◽  
Speed Tracking ◽  
Overall Performance ◽  
Random Change

Present research demonstrates an experimental work and simulation of FPGA based PMSM drives consists of PI and Fuzzy logic controller, for speed control under load, zero load and random change in load conditions. It also delineates the overall performance of a closed loop vector Permanent Magnet Synchronous Motor (PMSM) drive consisting of two loops, current for inner and speed for outer loops for better speed tracking systems. The resistive load which is connected across the armature of dc shunt motor and coupled with PMSM is varied. The resultant speed and torque are studied in details. Result showed that in case of fuzzy logic controller, the peak overshoot and settling time can be minimized. This FPGA based PMSM drives can be used for different paramount application under constant speed.

Approximated Simplest Fuzzy Logic Controlled Shunt Active Power Filter for Current Harmonic Mitigation

2013 ◽  
pp. 155-171
Author(s):  
Rambir Singh ◽  
Asheesh K. Singh ◽  
Rakesh K. Arya
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Active Power Filter ◽  
Pi Controller ◽  
Active Power ◽  
Rule Base ◽  
Shunt Active Power Filter ◽  
Harmonic Compensation ◽  
Power Filter ◽  
Harmonic Mitigation

This paper examines the size reduction of the fuzzy rule base without compromising the control characteristics of a fuzzy logic controller (FLC). A 49-rule FLC is approximated by a 4-rule simplest FLC using compensating factors. This approximated 4-rule FLC is implemented to control the shunt active power filter (APF), which is used for harmonic mitigation in source current. The proposed control methodology is less complex and computationally efficient due to significant reduction in the size of rule base. As a result, computational time and memory requirement are also reduced significantly. The control performance and harmonic compensation capability of proposed approximated 4-rule FLC based shunt APF is compared with the conventional PI controller and 49-rule FLC under randomly varying nonlinear loads. The simulation results presented under transient and steady state conditions show that dynamic performance of approximated simplest FLC is better than conventional PI controller and comparable with 49-rule FLC, while maintaining harmonic compensation within limits. Due to its effectiveness and reduced complexity, the proposed approximation methodology emerges out to be a suitable alternative for large rule FLC.

Fuzzy logic controller vs. PI controller for MPPT of three-phase grid-connected PV system considering different irradiation conditions

2016 ◽  
Vol 30 (3) ◽  
pp. 1353-1366 ◽  
Author(s):  
Omid Zhoulai Bakhoda ◽  
Mohammad Bagher Menhaj ◽  
Gevork B. Gharehpetian
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Pi Controller ◽  
Pv System ◽  
Three Phase

Hovering Control of Quadrotor Based on Fuzzy Logic

2017 ◽  
Vol 8 (1) ◽  
pp. 492
Author(s):  
Nia Maharani Raharja ◽  
Eka Firmansyah ◽  
Adha Imam Cahyadi ◽  
Iswanto Iswanto
Keyword(s):  
Fuzzy Logic ◽  
Rise Time ◽  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Settling Time ◽  
Altitude Control ◽  
Rotary Wing ◽  
Hovering Control ◽  
Maximum Rise

Quadrotor is one of rotary wing UAV types which is able to perform a hover position. In order to take off, landing, and hover, it needs controllers. Conventional controllers have been widely applied in quadrotor, yet they have drawbacks namely overshoot. This paper presents attitude and altitude control algorithm in order to obtain a response as quadrotor hovered optimally within minimum overshoot, rise time, and settling time. The algorithm used is Fuzzy Logic Controller (FLC) algorithm with Mamdani method. By using the algorithm, the quadrotor is able to hover with minimum overshoot and maximum rise time. The advantage of the algorithm is that it does not require linearization model of the quadrotor.

scholarly journals STUDI ANALISIS GOVERNOR SEBAGAI LOAD FREQUENCY CONTROL PADA PLTG MENGGUNAKAN FUZZY LOGIC CONTROLLER

2018 ◽  
Vol 17 (1) ◽  
pp. 107
Author(s):  
Gusti Made Ngurah Christy Aryanata ◽  
I Nengah Suweden ◽  
I Made Mataram
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Pi Controller ◽  
Active Power ◽  
Load Frequency Control ◽  
Electrical Power System ◽  
Load Frequency ◽  
Frequency Changes

A good electrical power system is a system that can serve the load in a sustainable and stable voltage and frequency. Changes in frequency occur due to the demand of loads that change from time to time. The frequency setting of the PLTG power system depends on the active power charge in the system. This active power setting is done by adjusting the magnitude of the generator drive coupling. The frequency setting is done by increasing and decreasing the amount of primary energy (fuel) and carried on the governor. Simulation in governor analysis study as load frequency control at PLTG using fuzzy logic controller is done by giving four types of cultivation that is 0,1 pu, 0,2pu, 0,3 pu and 0,4 pu. The simulation is done to compare the dynamic frequency response output and the resulting stability time using fuzzy logic controller with PI controller. Based on the results of comparative analysis conducted to prove that governor as load frequency control using fuzzy logic control is better than using PI controller. This can be seen from the output response frequency and time stability.

scholarly journals Analisis Stabilitas Sistem Tenaga Listrik Dengan Automatic Generation Control (AGC) Dua Area Menggunakan Fuzzy Logic Controller

2018 ◽  
Vol 17 (2) ◽  
pp. 263
Author(s):  
Made Dwi Noviantara ◽  
I Nengah Suweden ◽  
I Made Mataram
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Frequency Response ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Stable State ◽  
Automatic Generation ◽  
Settling Time ◽  
Frequency Control System ◽  
Response Output

The power system must be able to server the load in a sustainable manner with good service quality, such as constant voltage and frequency, quickly stabilized when load changes occur. The control generator automatically changes the frequency to the highest value when the system changes every time. This is called AGC. To keep the frequency in a stable state required frequency control system. Currently developing a lot of control system with fuzzy logic method. The simulation is performed using 5 membership functions and gives a loading of 0.1 pu, using MATLAB-Simulink software. From the analysis result, the comparison of output of frequency response in overshoot condition with conventional method yielded , settling time of 20.5 second. While the fuzzy logic controller method produces frequency response output in the overshoot state that is , settling time is 12 seconds. Whit the fuzzy logic controller method produces better performance and faster than conventional methods.

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