Fuzzy logic based set-point weight tuning of PID controllers

1999 ◽  
Vol 29 (6) ◽  
pp. 587-592 ◽  
Author(s):  
A. Visioli
Keyword(s):  
Fuzzy Logic ◽  
Pid Controllers ◽  
Set Point

scholarly journals A Modified 2-DOF Control Framework and GA Based Intelligent Tuning of PID Controllers

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 423
Author(s):  
Gun-Baek So
Keyword(s):  
Disturbance Rejection ◽  
Pid Controller ◽  
Weighting Function ◽  
Pid Controllers ◽  
Set Point ◽  
Tuning Method ◽  
Point Tracking ◽  
Load Disturbance ◽  
Control Framework ◽  
Feedforward Controller

Although a controller is well-tuned for set-point tracking, it shows poor control results for load disturbance rejection and vice versa. In this paper, a modified two-degree-of-freedom (2-DOF) control framework to solve this problem is proposed, and an optimal tuning method for the pa-rameters of each proportional integral derivative (PID) controller is discussed. The unique feature of the proposed scheme is that a feedforward controller is embedded in the parallel control structure to improve set-point tracking performance. This feedforward controller and the standard PID con-troller are combined to create a new set-point weighted PID controller with a set-point weighting function. Therefore, in this study, two controllers are used: a set-point weighted PID controller for set-point tracking and a conventional PID controller for load disturbance rejection. The parameters included in the two controllers are tuned separately to improve set-point tracking and load dis-turbance rejection performances, respectively. Each controller is optimally tuned by genetic algo-rithm (GA) in terms of minimizing the IAE performance index, and what is special at this time is that it also tunes the set-point weighting parameter simultaneously. The simulation results performed on four virtual processes verify that the proposed method shows better performance in set-point tracking and load disturbance rejection than those of the other methods.

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 Implementasi Kontrol Suhu pada Proses Penyulingan Pembuatan Bioetanol Berbahan Ecenggondok Menggunakan Fuzzy Logic

2021 ◽  
Vol 7 (1) ◽  
pp. 10
Author(s):  
Bagus Prihantoro ◽  
Hari Kurnia Safitri ◽  
Tundung Subali
Keyword(s):  
Fuzzy Logic ◽  
Eichhornia Crassipes ◽  
Set Point

Eceng gondok (Eichhornia Crassipes) adalah sejenistanaman bakung yang hidup nya di atas permukaan air danbanyak tumbuh di perairan keruh seperti waduk, sungai danrawa. Banyak nya tumbuhan eceng gondok yang hidup didaerah air keruh, padahal tanaman eceng gondok dari akarsampai daun dapat digunakan menjadi bieotanol sebagaipengganti bahan bakar dari fosil yang semakin habis di masamendatang. Untuk mengatasi kendala yang terjadi di kotasidoarjo terdapat mitra pembuatan bioetanol. Mitra tersebutmasih menggunakan cara manual untuk memproses ecenggondok agar menjadi bieotanol, Pada mitra membutuhkanwaktu yang cukup lama di karenakan suhu pada penyulingantidak setabil. Selain itu, kadar air yang masih banyak pada uapmembuat proses penyulingan menyebabkan banyak nyawadah yang digunakan. Untuk itu proses penyulingan denganmegatur suhu agar mendapatkan uap bioethanol yang minimkandungan air dan tidak banyak membutuhkan wadah padaproses penyulingan. Sehingga meningkatkan mutu pembuatanbioethanol dengan mempelajari pengaruh proses penyulinganterhadap pembuatan bioethanol. Sistem ini di kombinasikandengan sensor MQ3 dan LM35 dengan aktuator heater. Nilai –nilai yang ada pada sistem ini di lihat pada LCD yang dipasang di panel box. Sistem kontrol yang di gunakan yaknimetode Fuzzy Logic yang di gunakan untuk mengontrolheater. Saat suhu di atas set point, maka pwm pada driverheater akan turun begitupun sebaliknya. Sistem kontrol suhuini mendapatkan hasil yakni pada suhu stabil pada angka 75-85℃. Dengan suhu yang sesuai titik didih bioethanolmendapatkan hasil Bioetanol maksimal dengan waktu yangcepat. Bioethanol yang di hasilkan dengan suhu 80℃ yakni90%.

Dynamic Tuning of the Controller Parameters in a Two-Area Multi-Source Power System for Optimal Load Frequency Control Performance

2020 ◽  
Vol 51 ◽  
pp. 111-129
Author(s):  
Peter Anuoluwapo Gbadega ◽  
Akshay Kumar Saha
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Control Performance ◽  
Source Power ◽  
Dynamic Tuning ◽  
Load Frequency ◽  
Tie Line

Frequency control is becoming increasingly critical today due to the growing size and changing structure of complex interconnected power networks. Scaling up economic pressures for efficiency and reliability of the power system has necessitated a requirement for maintaining system frequency, and tie-line power flows as close as possible to scheduled values. High-frequency deviations may degrade load performance, damage equipment, resulting in overloading of transmission lines, which may interfere with system protection schemes, and, finally, may also result in an unstable condition of the power system. More so, Load Frequency Control ( LFC) plays a vital role in the modern power system as an auxiliary service to support power exchanges and, at the same time, to provide better conditions for the trading of electricity. Therefore, the tuning of the dynamic controller (i.e., net frequency and net power interchange errors) is a significant factor in achieving optimum LFC performance. Appropriate tuning of the controller parameters is required in order to achieve excellent control action. In view of this, this paper introduces the dynamic tuning of controller parameters in a two-area multi-source power system with an AC-DC parallel tie line for optimum load-frequency control performance. Matlab/Simulink software is used to realize the system simulation. System dynamic performance is observed for conventional PID tuning by the Ziegler Nichols method and the Kitamori method, fuzzy logic controllers, fuzzy-logic PID controllers, fuzzy PID controllers, and polar-Fuzzy controllers. Furthermore, the frequency and tie-line power response of the interconnected areas were compared based on the setting-time, peak-overshoot, and peak-undershoot. The simulation results show that the responses of the fuzzy-based controllers are faster than those of the classical controllers, resulting in minimized frequency and tie-line power deviations.

Set Point Weighted Pid Controllers For Unstable Systems

2005 ◽  
Vol 192 (1) ◽  
pp. 1-13 ◽  
Author(s):  
R. Padma Sree ◽  
M. Chidambaram
Keyword(s):  
Pid Controllers ◽  
Unstable Systems ◽  
Set Point
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