Comparative analysis of control quality between PI and FUZZY controller of experimental electrohydraulic servosystem

2021 ◽  
Author(s):  
Stanimir Yordanov ◽  
Krasimir Ormandzhiev ◽  
Georgi Mihalev
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Controller ◽  
Control Quality

scholarly journals Stability Analysis of Wind Farm Connected Multi Machine System using Fuzzy Controller Based STATCOM and SVC

2019 ◽  
Vol 8 (4) ◽  
pp. 12346-12354
Keyword(s):  
Comparative Analysis ◽  
Wind Farm ◽  
Fuzzy Controller ◽  
Wind Farms ◽  
Main Concern ◽  
Large Power ◽  
Ground Fault ◽  
Facts Devices ◽  
Dynamic Time ◽  
Fault Clearance

Large capacity wind farm are used to fulfil the demand of power now days. Stability of these wind farms is the main concern when integrating with the large power system. FACTS devices are employed with the system to advance the dynamic time responses of the system. In this paper a comparative analysis of STATCOM and SVC has been done. At the place of conventional controllers like P, PI, PID fuzzy logic control (FLC) has been used in the FACTS devices used. These FACTS devices are used to improve the power quality of the overall system. To inspect the system performance and analyze the behavior of the system a three phase to ground fault has been taken into account at two different locations, the software used for modelling and simulation is MATLAB/Simulink. Results demonstrate damping and oscillations of Fuzzy controlled STATCOM and SVC based system.The comparative analysis shows that the system with FLC based STATCOM has better performance than the FLC based SVC and fast fault clearance.

Type-2 fuzzy control for line following using line detection images

2020 ◽  
Vol 39 (5) ◽  
pp. 6089-6097
Author(s):  
Oscar Castillo ◽  
Prometeo Cortés-Antonio ◽  
Patricia Melin ◽  
Fevrier Valdez
Keyword(s):  
Comparative Analysis ◽  
Control Systems ◽  
Fuzzy Controller ◽  
Line Detection ◽  
Omnidirectional Mobile Robot ◽  
Adaptive Parameters ◽  
Control Schemes ◽  
Line Following

This work presents a comparative analysis of Type-1 and Type-2 fuzzy controllers to drive an omnidirectional mobile robot in line-following tasks using line detection images. Image processing uses a Prewitt filter for edge detection and determines the error from the line location. The control systems are tested using four different paths from the Robotino® SIM simulator. Also, two different strategies in the design and implementation of the controllers are presented. In the first one, a PD controller scheme is extended by using a fuzzy system to have adaptive parameters P and D, additionally, Type-2 Fuzzy sets are used to give robustness to the controller. In the second case, a Fuzzy controller is designed to compute in a direct way the control variables and it is extended to Type-2 Fuzzy controller. Finally, experimental results and comparative analysis are presented for the five control schemes by comparing the running time and the standard deviation to measure the robustness of the control systems.

A Comparative Analysis of Integrated Boost Flyback Converter using PID and Fuzzy Controller

2015 ◽  
Vol 5 (4) ◽  
pp. 486
Author(s):  
R.Samuel Rajesh Babu
Keyword(s):  
Fuzzy Logic ◽  
Comparative Analysis ◽  
Pid Controller ◽  
Closed Loop ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Energy System ◽  
Flyback Converter ◽  
Integrated Boost ◽  
Simulation Results

<div class="Section1"><p class="papertitle">This paper presents a comparative analysis of Integrated boost flyback converter for Renewable energy System. IBFC is the combination of boost converter and fly back converter. The proposed converter is simulated in open and closed loop using PID and FUZZY controller. The Fuzzy Logic Controller (FLC) is used reduce the rise time, settling time to almost negligible and try to remove the delay time and inverted response. The performance of IBFC with fuzzy logic controller  is found better instead of PID controller. The simulation results are verified experimentally and  the output of converter is free from ripples and has regulated output voltage.</p></div>

scholarly journals Fuzzy control of temperature and humidity microclimate in closed areas for poultry breeding

2014 ◽  
Vol 60 (Special Issue) ◽  
pp. S31-S36 ◽  
Author(s):  
M. Olejár ◽  
V. Cviklovič ◽  
D. Hrubý ◽  
L. Tóth
Keyword(s):  
Steady State ◽  
Power Consumption ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Control Process ◽  
Thermodynamic System ◽  
Control Quality ◽  
Poultry Breeding ◽  
Temperature And Humidity ◽  
Closed Thermodynamic System

This contribution describes the ways of temperature and humidity microclimate control in breeding areas using a fuzzy controller. It is focused on poultry, whereby the most important parameters for optimal breeding are temperature and humidity. The main aim was to evaluate the control process according to control quality in the controller&rsquo;s steady state and the power consumption of the system. The used control algorithm was designed in the Matlab application, and it was practically verified in a closed thermodynamic system. Practical measurements have shown that with an increasing number of fuzzy controller&rsquo;s interference rules a better control quality in steady states and lower power consumption of the system is achieved.

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