Designing of Fuzzy Logic Controller for Set-Point Weight Tuning of Pid Controllers

2015 ◽  
Vol 8 (10) ◽  
pp. 351-358 ◽  
Author(s):  
Gagan Soni ◽  
Himmat Singh
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Pid Controllers ◽  
Set Point

scholarly journals Dynamic Stability and Analysis of SMIB system with FLC Based PSS including Load Damping Parameter Sensitivity

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Jagadeesh Pothula ◽  
Ch. Durga Prasad ◽  
M. Sai Veerraju
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Dynamic Analysis ◽  
Single Machine ◽  
Fuzzy Logic Controller ◽  
Parameter Sensitivity ◽  
Power System Stabilizer ◽  
Pid Controllers ◽  
Damping Parameter ◽  
System Stabilizer

This paper studies Dynamic Analysis and Stability of Single machine connected to infinite bus (SMIB) with power system stabilizer (PSS) in presence of Fuzzy logic controller (FLC) including load damping parameter sensitivity. Here PSS is modeled using fuzzy logic controller and the response is compared with the responses of the system in presence of conventional PI, PID controllers including load damping parameters sensitivity. In case of FLC based PSS the responses are compared different load damping parameters. Matlab-Simulink is used to test the results.

scholarly journals Interval type-2 fuzzy logic controller design for distillation column process

2019 ◽  
Vol 8 (3) ◽  
pp. 155
Author(s):  
Mohammed Y. Hassan ◽  
Sebal S. Ezzaten
Keyword(s):  
Fuzzy Logic ◽  
Intelligent Control ◽  
Distillation Column ◽  
Fuzzy Logic Controller ◽  
Molar Fraction ◽  
Absolute Error ◽  
Set Point ◽  
Oil Refineries ◽  
Interval Type

Distillation columns are the most units used in oil refineries, and chemical factories. This is a very difficult process and non-linear. Therefore, <br /> the development of intelligent control systems for the columns of <br /> the distillation is very difficult. In this paper, an intelligent control strategy using Mamdani type Interval Type-2 PI Like Fuzzy Logic Controller (IT2FLC) is used. The controller consists of PD-Like FLC with integrated output. Kernek Mendel (KM) algorithm is used as the type reduction method for the IT2FLC. This controller is applied to control a continuous binary trays distillation column. The controller has three tunable gains to reach minimum overshoot, minimum error and minimum settling time at least variables can be controlled. The controller is a variable of the molar fraction of distillate and the reflex ratio is the manipulated variable. Integral Time Absolute Error (ITAE) is employed as an objective function to measure the improvement in time response where the error is between desired and output product composition. The performance of IT2FLC is compared with Type-1 PI Like FLC (T1FLC). The results of the simulations have shown that the project of IT2FLC works efficiently to no- disturbance and the effects of disturbance. Improve average is of 85% for a constant set-point without a disturbance and 80% with a disturbance. Furthermore, the average improvement for a step set-point is 53% without disturbance and 74% with disturbance. All results of the simulation confirmed the hardiness and control any consistent inaccurate with obvious advantages for the IT2FLC.

scholarly journals KONTROL KECEPATAN MOTOR DC MENGGUNAKAN FUZZY LOGIC CONTROLLER PADA AYUNAN BAYI

2021 ◽  
Vol 2 (01) ◽  
pp. 1-14
Author(s):  
Ade Septian Dwisaputra ◽  
Fajar Yumono ◽  
Dian Efytra Yuliana
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Weighted Average ◽  
Set Point

Sebagian besar bayi terbangun di tengah malam karena perubahan fase tidur dari tidur lelap ke tidur ringan lalu bangun, dan biasanya akan menangis. Untuk mengatasi masalah tersebut maka dibuat suatu sistem yang dapat mengayunkan bayi kekiri dan ke kanan seperti pendulum dengan kecepatan yang diatur dengan metode fuzzy logic agar didapatkan pengayunan dengan gerakan perlahan dan stabil. Fuzzifikasi menggunakan metode Min-Max sedangkan pada deffuzzifikasi menggunakan metode weighted average dengan metode keluaran menggunakan metode tsukamoto. Hasil dari penelitian ini antara lain pada pengujian tanpa beban didapatkan respon terbaik pada saat tunning set point 60 dengan presentase error sebesar 2,28%. Pada saat tunning set point 50 didapat presentase error sebesar 13,58%. Pada saat pengujian menggunakan beban 3 kg didapatkan respon terbaik pada saat tunning set point 80 dengan presentase error sebesar 3,2%. Sedangakan pada saat tunning set point 70 didapat error sebesar 9,75%.

scholarly journals Energy saving for air supply in a real WWTP: application of a fuzzy logic controller

2020 ◽  
Vol 81 (8) ◽  
pp. 1552-1557 ◽  
Author(s):  
G. Bertanza ◽  
L. Menoni ◽  
P. Baroni
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Wastewater Treatment Plants ◽  
Control Strategies ◽  
Energy Requirement ◽  
Ammonia Concentration ◽  
Specific Power ◽  
Aeration Tank ◽  
Set Point ◽  
Air Supply

Abstract An unconventional cascade control system, for the regulation of air supply in activated sludge wastewater treatment plants (WWTPs), was tested. The dissolved oxygen (DO) set point in the aeration tank was dynamically calculated based on effluent ammonia concentration, following a fuzzy logic based approach. First, simulations were conducted, according to the BSM2 protocol, for a general comparison with more conventional control strategies. It turned out that the effluent quality could be improved by 7–8%, based on the EQI parameter. Moreover, the aeration energy requirement could be reduced up to 13%. Subsequently, the system was installed in a full-scale WWTP. While stably complying with the ammonia effluent standard (10 mg/L), excess air supply was prevented, and a reduction of the specific power consumption (kWh/kgCODremoved) of 40–50% was recorded with respect to the previously installed PID controller (fixed DO set point).

scholarly journals Fuzzy logic controller design for PUMA 560 robot manipulator

2020 ◽  
Vol 9 (2) ◽  
pp. 73
Author(s):  
Abdel-Azim S. Abdel-Salam ◽  
Ibrahim N. Jleta
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Position Control ◽  
Controller Design ◽  
Robot Manipulator ◽  
Tracking Error ◽  
Pid Controllers ◽  
Fuzzy Logic Controllers ◽  
Better Than ◽  
Computed Torque

The dynamic model of the robot manipulator contain from equations, these equations are nonlinear and contained from variations parameters due to variations in load, friction, and disturbance. The conventional computed torque (PD and PID) controllers are not highly suitable for nonlinear, complex, time-variant systems with delay. In this paper, the fuzzy logic controllers (FLC) has been used because it is efficient tools for control of nonlinear and uncertain parameters systems. This paper aims to design a fuzzy logic controller for position control of a PUMA 560 robot manipulator. Based on simulation results we conclude that the performance of the fuzzy logic controller in term of position tracking error in case of disturbance or load is better than the conventional computed torque (PD-CTC and PID-CTC) controllers.

scholarly journals ANALISA PENGENDALI HYBRID SLIDING MODE CONTROL DAN FUZZY LOGIC CONTROLLER DALAM PENURUNAN ERROR STEADY STATE UNTUK MENGENDALIKAN CONCENTRATION PADA ISOTHERMAL CONTINUOUS STIRRED TANK REACTOR (CSTR)

2019 ◽  
Vol 6 (1) ◽  
pp. 32-39
Author(s):  
Ahmad Faizal ◽  
Dian Mursyitah ◽  
Ewi Ismaredah
Keyword(s):  
Fuzzy Logic ◽  
Steady State ◽  
Sliding Mode Control ◽  
Fuzzy Logic Controller ◽  
Sliding Mode ◽  
Settling Time ◽  
Continuous Stirred Tank Reactor ◽  
Set Point ◽  
Mode Control ◽  
Continuous Stirred Tank

Sistem di industri sering terjadi kesalahan dalam mencapai kinerja atau performansi yang diinginkan. Salah satunya pada sistem isothermal CSTR dimana sistem ini belum mampu bekerja sesuai set point yang diinginkan 1 g.mol/litter, untuk mencapai set point maka digunakan pengendali Sliding Mode Control yang di Hybrid dengan Fuzzy Logic Controller yang diidentifikasi dengan metode FOPDT untuk menurunkan nilai error steady state. hybrid sliding mode control dan fuzzy logic controller telah mencapai nilai set point yang diinginkan yaitu 1 g.mol/litter  dengan waktu tunak/settling time 0.7098 detik, sementara pada pengendali sliding mode control mengalami error steady state sebesar 0.0004 g.mol/litter dengan waktu tunak/settling time 0.7275 detik

scholarly journals Look-up table based fuzzy controller in order to control steaming room process

2018 ◽  
Vol 6 (2) ◽  
pp. 1-12
Author(s):  
Sadegh Aminifar ◽  
Sirwan Mohamad Kekshar ◽  
Muhammadamin Daneshwar
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Pid Controllers ◽  
Expert Rule ◽  
Look Up Table ◽  
Open Time ◽  
Specific Temperature ◽  
Activation Times

Introduction: In this paper, using look-up table control strategy,a fuzzy logic controller is designed for controlling the temperatureof steaming room in terrazzo tile plant corresponding to dedicatedprocess diagrams. Methods: In the proposed method, the temperature and error of temperature are considered as inputs to controlthe duration of valve open time to decrease the activation times ofvalves in order to increase their longevity. The strategy considersan off-line trained look-up table for setting the time of openingvalve in the specific temperature. A fuzzy controller with fifteen extracted rules is designed for controlling the duration of valve opentime. Results: Results show that the number of switching of valvereduces compare to intuitionistic or expert rule extraction. Conclusions: Simulations provide more compatible steaming process routcompare to PID controllers.

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