Tuning of PID controllers with fuzzy logic

2001 ◽  
Vol 148 (1) ◽  
pp. 1-8 ◽  
Author(s):  
A. Visioli
Keyword(s):  
Fuzzy Logic ◽  
Pid Controllers

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.

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.

Fuzzy logic algorithm of hovering control for the quadrotor unmanned aerial system

2017 ◽  
Vol 10 (4) ◽  
pp. 451-463 ◽  
Author(s):  
Lie Yu ◽  
Jia Chen ◽  
Yukang Tian ◽  
Yunzhou Sun ◽  
Lei Ding
Keyword(s):  
Fuzzy Logic ◽  
Tracking Control ◽  
Pid Controller ◽  
Position Control ◽  
Horizontal Component ◽  
Pid Controllers ◽  
Content Type ◽  
Fuzzy Logic Algorithm ◽  
Velocity Tracking ◽  
Hovering Control

Purpose The purpose of this paper is to present a control strategy which uses two independent PID controllers to realize the hovering control for unmanned aerial systems (UASs). In addition, the aim of using two PID controller is to achieve the position control and velocity control simultaneously. Design/methodology/approach The dynamic of the UASs is mathematically modeled. One PID controller is used for position tracking control, while the other is selected for the vertical component of velocity tracking control. Meanwhile, fuzzy logic algorithm is presented to use the actual horizontal component of velocity to compute the desired position. Findings Based on this fuzzy logic algorithm, the control error of the horizontal component of velocity tracking control is narrowed gradually to be zero. The results show that the fuzzy logic algorithm can make the UASs hover still in the air and vertical to the ground. Social implications The acquired results are based on simulation not experiment. Originality/value This is the first study to use two independent PID controllers to realize stable hovering control for UAS. It is also the first to use the velocity of the UAS to calculate the desired position.

Research on Modeling and Control Methods of Variable-Speed Variable-Pitch Wind Turbine Generators

2011 ◽  
Vol 383-390 ◽  
pp. 2636-2643
Author(s):  
Na Li ◽  
Hai Peng Nan ◽  
Xiang Yang Yu ◽  
Li Su
Keyword(s):  
Fuzzy Logic ◽  
Peak Power Output ◽  
Pid Controllers ◽  
Variable Speed ◽  
Control Effect ◽  
Variable Pitch ◽  
Fuzzy Controllers ◽  
Modeling And Control ◽  
Power Extraction ◽  
Mechanism Model

In view of the high-order, nonlinear, strong coupling, multivariable and time varying character of wind energy conversion system, the fuzzy-logic control strategy is introduced in this paper. First, this thesis analyzes and establishes the mechanism model for each component element of the megawatt class variable-speed variable-pitch wind turbines as well as the wind speed model. Second, for the goal of maximum wind power extraction under rated wind and peak power output maintaining above rated speed wind, PID controllers as well as fuzzy-logic controllers are designed respectively by different wind velocity condition. The simulation results demonstrate that no matter for the following up performance or the anti-interference capability, the fuzzy controllers which are devised in the paper have a better control effect than PID controllers. The fuzzy controllers can reduce system’s overshoot and regulation time more effectively, offset the negative impacts of nonlinearity, and they have better robustness too.

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