scholarly journals Development and Application of a Fuzzy Control System for a Lead-Acid Battery Bank Connected to a DC Microgrid

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Juan José Martínez ◽  
José Alfredo Padilla-Medina ◽  
Sergio Cano-Andrade ◽  
Agustín Sancen ◽  
Juan Prado ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Discharge Process ◽  
Membership Functions ◽  
Response Dynamics ◽  
Dc Microgrid ◽  
Fuzzy Control System ◽  
Dc Bus ◽  
Lead Acid

This study presents the development and application of a fuzzy control system (FCS) for the control of the charge and discharge process for a bank of batteries connected to a DC microgrid (DC-MG). The DC-MG runs on a maximum power of 1 kW with a 190 V DC bus using two photovoltaic systems of 0.6 kW each, a 1 kW bidirectional DC-AC converter to interconnect the DC-MG with the grid, a bank of 115 Ah to 120 V lead-acid batteries, and a general management system used to define the operating status of the FCS. This FCS uses a multiplexed fuzzy controller, normalizing the controller’s inputs and outputs in each operating status. The design of the fuzzy controller is based on a Mamdani inference system with AND-type fuzzy rules. The input and output variables have two trapezoidal membership functions and three triangular membership functions. LabVIEW and the NI myRIO-1900 embedded design device were used to implement the FCS. Results show the stability of the DC bus of the microgrid when the bank of batteries is in the charging and discharging process, with the bus stabilized in a range of 190 V ± 5%, thus demonstrating short response times to perturbations considering the microgrid’s response dynamics.

Networked Fuzzy Control System for a High-Performance Drilling Process

2008 ◽  
Vol 130 (3) ◽  
Author(s):  
Rodolfo E. Haber-Guerra ◽  
Rodolfo Haber-Haber ◽  
Diego Martín Andrés ◽  
Angel Alique Palomar
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Feed Rate ◽  
High Performance ◽  
Fuzzy Controller ◽  
Reference Signal ◽  
Drilling Process ◽  
Fuzzy Control System ◽  
Optimal Tuning ◽  
Design And Implementation

The high-performance drilling (HPD) process has a significant impact on production in many industries, such as the automotive, die/mold and aerospace industries. However, cutting conditions for drilling are generally chosen from a machining-data handbook, requiring operator experience and skill. In order to improve drilling efficiency while preserving tool life, the current study focuses on the design and implementation of a simple, optimal fuzzy-control system for drilling force. The main topic of this study is the design and implementation of a networked fuzzy controller. The control system consists of a two-input (force error and change of error), single-output (feed-rate increment) fuzzy controller with nine control rules, the sup-product compositional operator for the compositional rule of inference, and the center of area as the defuzzification method. The control algorithm is connected to the process through a multipoint interface (MPI) bus, a proprietary programming, and communication interface for peer-to-peer networking that resembles the PROFIBUS protocol. The output (i.e., feed-rate) signal is transmitted through the MPI; therefore, network-induced delay is unavoidable. The optimal tuning of the fuzzy controller using a maximum known delay is based on the integral time absolute error (ITAE) criterion. The goal is to obtain the optimal tuning parameters for the input scaling factors while minimizing the ITAE performance index. In this study, a step in the force reference signal is considered a disturbance, and the goal is to assess how well the system follows set-point changes using the ITAE criterion. The optimization is performed using the Nelder–Mead simplex (direct search) method. The main advantage of the approach presented herein is the design of a simple fuzzy controller using a known maximum allowable delay to deal with uncertainties and nonlinearities in the drilling process and delays in the network-based application. The results demonstrate that the proposed control strategy provides an excellent transient response without overshoot and a slightly higher drilling time than the CNC working alone (uncontrolled). A major issue in high performance drilling is the increase in cutting force and torque that occurs as the drill depth increases. Therefore, the fuzzy-control system reduces the influence of these factors, thus eliminating the risk of rapid drill wear and catastrophic drill breakage.

A New Application of Fuzzy Control - Fuzzy Control System of Cutting Motor in Hi-Frequency Straight Welded Tube Process

2011 ◽  
Vol 58-60 ◽  
pp. 1194-1199
Author(s):  
Ning Gao ◽  
Li Peng ◽  
Lin Hai Wu ◽  
Jun Jie Jiang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Speed Control ◽  
Simulation Test ◽  
Fuzzy Control System ◽  
Welded Tube

Because of the nonlinear of the cutting motor which is used in hi-frequency straight welded tube process, this paper designs a fuzzy control method used in the speed control system of the cutting motor. Furthermore, simulation test shows the control system that uses the fuzzy controller has better performances than that of the traditional PID control, which improve the dynamic performance, disturbance restraint performance and the steady precision.

ESO-Fuzzy Controller for Papermaking Process

2013 ◽  
Vol 846-847 ◽  
pp. 374-377
Author(s):  
En Rang Zheng ◽  
Ling Zhang ◽  
Guang Li
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
State Observer ◽  
Extended State Observer ◽  
Tracking Performance ◽  
Extended State ◽  
Fuzzy Control System

A kind of fuzzy control system based on papermaking process is proposed. This fuzzy control system is used with the extended state observer. The results of simulation show that it has satisfactory tracking performance, good robustness and the powerful ability to suppress disturbances.

Design of a Fuzzy Control System for Integrative Irrigation in Field

2011 ◽  
Vol 291-294 ◽  
pp. 2630-2634
Author(s):  
Ying Mei Zhang ◽  
Li Li Yao
Keyword(s):  
Soil Moisture ◽  
Control System ◽  
Fuzzy Control ◽  
Air Temperature ◽  
Fuzzy Controller ◽  
Irrigation System ◽  
Three Dimension ◽  
Fuzzy Control System ◽  
The North ◽  
And Control

A set of integrative irrigation fuzzy control system is designed to the question of the north field crops irrigation in this paper. In this system, the biogas digester, generating system, irrigation system, and control system are combined organically; the power needed is supplied by the biogas generator; the signals of soil moisture and air temperature are collected by the PLC; according to the control scheme that mainly controls soil moisture while air temperature is considered secondarily, a three-dimension fuzzy controller is designed to irrigate precisely; the local and remote communications are realized via the Ethernet and GPRS respectively; four monitoring modes (local operator monitor, SMS, website and C/S client) are designed in this system. The automatic irrigation system can save water, power and fertilizer at the same time.

The Development of Dual-Effect Fuzzy Control System Based on FPGA

2013 ◽  
Vol 321-324 ◽  
pp. 1645-1648
Author(s):  
Chung Neng Huang ◽  
Ying Han Ye ◽  
Chien Kuo Lan
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Air Conditioning ◽  
High Efficiency ◽  
Fuzzy Controller ◽  
Cooling System ◽  
Cooling Efficiency ◽  
Dual Effect ◽  
Air Conditioning System ◽  
Fuzzy Control System

The water misting cooling has phase change characteristics,so the cooling efficiency is better than water cooled ,and more saveing energy、save water、less noise ,It is being widely used in the air conditioning system for the condenser cooling. In order to enhance the cooling efficiency of the water misting cooling system and improve the efficiency of the air conditioning system in the cold room, In the study use ultrasonic water misting cooling chiller for controlled object, and proposed the dual-effect fuzzy control system controller’s design concepts ,carry out the fuzzy controller and the control circuit in the FPGA chip to reach the goal of the product, After the relevant tests that is differing from traditional air-cooled water chillers. In the study, in addition to improve the shortcomings of traditional chiller energy consumption, to enhance the efficiency of water misting cooling system, achieve more saving energy and high efficiency control purposes.

scholarly journals Research on the Traction Fuzzy Control of Articulated Vehicles Based on Matlab

2018 ◽  
Vol 175 ◽  
pp. 02014
Author(s):  
Jing Leng ◽  
Fan He
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Traction Force ◽  
Slip Rate ◽  
Effective Control ◽  
Control Analysis ◽  
Analysis Model ◽  
Fuzzy Control System ◽  
Full Vehicle

In this paper, the slip rate of the articulated electric-wheel vehicles is monitored with the traction control system during running. Using fuzzy control system to control the traction force can effectively control the output torque of the motor so as to realize the effective control of the slip rate in different running roads. The full vehicle dynamic model of the articulated electric-wheel vehicles was built, and the dynamic equation of the steering process was analyzed. The motor control model and the traction fuzzy controller suitable for the system were constructed. Based on Matlab, the fuzzy controller was integrated with the full vehicle model to build the fuzzy control analysis model of full vehicle traction force. The running condition of the full vehicle on the low adhesion coefficient road and bisectional road was analyzed. The analysis results show that when vehicles run at different adhesion coefficients, the slip rate fuzzy control system can effectively reduce the skidding degree of wheels, so that the adhesive force provided by the pavement can be used to the maximum extent, so as to ensure the vehicle stability and improve the running safety, and the control has achieved good results.

Fuzzy Control with Adjustable Factors in Tension Control System

2014 ◽  
Vol 902 ◽  
pp. 201-206 ◽  
Author(s):  
Fang He ◽  
Jia Han ◽  
Qiang Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Tension Control ◽  
System Response ◽  
Fast System ◽  
Fuzzy Control System ◽  
Control Rules ◽  
Tension Control System ◽  
Fuzzy Control Algorithm

The variable tension control system of strip winding is a nonlinear, strong coupling and time-varying system. Traditional fuzzy controller with fixed control rules cannot obtain the desired control performance of the strip winding system. So the fuzzy control algorithm with adjustable factorαis proposed, and the introduction of adjustable factors can change the fuzzy control rules. The tension fuzzy controller with adjustable factorαis designed, and simulation model of the system is established using Matlab software. The result of simulation shows that tension fluctuation of the tension fuzzy control system with adjustable factor get small, comparing the tension fuzzy control system with adjustable factors with the ordinary tension fuzzy control system. The tension fuzzy control system with adjustable factors has fast system response and strong anti-interference ability.

Networked Fuzzy Control System for a High-Performance Drilling Process

2007 ◽  
Author(s):  
Rodolfo E. Haber ◽  
Rodolfo Haber-Haber ◽  
Angel Escribano ◽  
Javier Escribano
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Feed Rate ◽  
High Performance ◽  
Fuzzy Controller ◽  
Absolute Error ◽  
Drilling Process ◽  
Drilling Force ◽  
Fuzzy Control System ◽  
Design And Implementation

In order to improve drilling efficiency while preserving tool life, the current study focuses on the design and implementation of a simple, optimal fuzzy-control system for drilling force. The main topic of this study is the design and implementation of a networked fuzzy controller. The control system consists of a two-input (force error and change of error), single-output (feed-rate increment) fuzzy controller. The control algorithm is connected to the process through a multipoint interface (MPI) bus. The output (i.e., feed-rate) signal is transmitted through the MPI; therefore, network-induced delay is unavoidable. The optimal tuning of the fuzzy controller using a maximum known delay is based on the integral time absolute error (ITAE) criterion. The main advantage of the approach presented herein is the design of a simple fuzzy controller using a known maximum allowable delay to deal with uncertainties and nonlinearities in the drilling process and delays in the network-based application. The results demonstrate that the proposed control strategy provides an excellent transient response without overshoot and a slightly higher drilling time than the CNC working alone (uncontrolled). Therefore, the fuzzy-control system reduces the influence of the increase in cutting force and torque that occurs as the drill depth increases, thus eliminating the risk of rapid drill wear and catastrophic drill breakage.

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