Intelligent System for Controlling a Three-Phase Active Filter

This chapter describes the base algorithm and the implementation of a three-phase active filter controlled by a LabVIEW software application. This intelligent system was designed for power quality improvement in functioning of an electrothermal installation with electromagnetic induction. The active filtering device is composed by pulse width modulation (PWM) converter, which processes the power and the controller that is responsible for signal processing. The PWM converter accomplishes the current compensation from the power distribution. The filter controller processes the signal for a real-time determination of the references for instantaneous compensating current. These currents are continuously supplying the PWM converter. The LabVIEW application is also responsible for the electric parameter’s computing. The application uses a data acquisition board connected to a computer and an active filter realized with insulated gate bipolar transistors (IGBTs). This work also contains real measurement sets and parameter variation obtained by using the presented soft-controlled device

Method’s and Test Stand for Electronic PID Controller

The paper presents method’s and a testing stand for electronic controller using for this a signal generator and a digital oscilloscope respectively the virtual instrumentation and the signal acquisitions from the controllers input and output through an data acquisition board and an PC on that Lab View program runs

Wigner Ville Distribution in Signal Processing, using Scilab Environment

The Wigner Ville distribution offers a visual display of quantitative information about the way a signal’s energy is distributed in both, time and frequency. Through that, this distribution embodies the fundamentally concepts of the Fourier and time-domain analysis. The energy of the signal is distributed so that specific frequencies are localized in time by the group delay time and at specifics instants in time the frequency is given by the instantaneous frequency. The net positive volum of the Wigner distribution is numerically equal to the signal’s total energy. The paper shows the application of the Wigner Ville distribution, in the field of signal processing, using Scilab environment

Fuzzy Logic Controllers for High Performance in Secondary Cooling

The main target of this paper is to develop and implement structures of fuzzy control in the continuous casting process (in the secondary cooling) capable of eliminating the surface flaws and casting rejects, to increase the quality of continuously cast products and implicitly to increase the productivity of the installation by controlling the water flow rate in the secondary cooling circuit. In order to achieve this objective, a solution will be developed and implemented, meant to control the casting process by a fuzzy system, allowing the control of the water flow rate in the secondary cooling, by appropriate distribution along the cooling area. This necessity is imposed by the fact that actual control systems do not correlate in real time the variations of the multiple variables related to the continuous casting process and stick to a rigid distribution of the water flow rate on each cooling area

The study of plate-type electrostatic precipitators electrical supplies

Stricter environmental legislation in many countries is producing standards governing the emission of fine particles to the atmosphere from all sources. The industrial separating particles from process streams have numerous methods with different principles. In electrostatic precipitators is used electrical charge of dust particles.There are many aspects of pollution control in both solid and liquid phase using electrostatic precipitators.The operation of plate-type electrostatic precipitators is closely related to its electrical energization, to obtain high collection efficiency with low electrical energization consumption. The paper analyze the traditional direct current energization, the intermittent energization, the pulse energization and the switched mode at high frequency power supplies of plate-type electrostatic precipitators sections

The Perception and Degree of Adoption by Urbanites towards Urban Farming

Malaysia is not shielded from the issues of food insecurity. Despite economic progression over the past few years, food insecurity is continuing to affect several vulnerable groups (Orang Asli, elderly, students, B40). It is a growing concern that should not be taken lightly, especially with the recent rise in food prices coupled with low income among vulnerable groups and the effects of the COVID‐19 pandemic. As cities develop and expand, they stretch out and occupy former farmlands forcing farms to stop operating or move further off from the city centre. New trends like urban farming are slowly emerging, which have the potential to be a solution to the developing crises of food insecurity. This research aims to determine how relevant each of the factors, ‘confidence,’ (CF) ‘societal,’ (SC) ‘pleasantness,’ (PL) and ‘naturalness,’ (NT) are towards adopting (AD) the idea of urban farming and, if relevant, among which has the most positive impact. A mixed‐method approach was used to obtain quantitative and qualitative data. One hundred and thirty‐three responses were recorded and used (a significant sample size according to the G‐power software). The validity and reliability of the data were also tested to affirm their quality and relevance according to the factors. The main findings revealed that ‘pleasantness’ and ‘confidence’ were strong factors for adopting urban farming, in line with Cohen’s R Square of more than 32%, which signifies a high impact toward influencing adoption. In addition, qualitative analysis shows that while positive outcomes complemented the quantitative study, practical constraints were highlighted. These constraints were space, time, supply chain, resources, tools, community and government support. Hence, this study provides two significant contributions to regulators and policymakers on urban farming (further explained in the discussions section)

Intelligent System for Continuous Steel Casting Based on Water Flow Control in the Secondary Cooling Stage

This paper presents an intelligent system capable of eliminating the surface flaws and casting rejects, to increase the quality of continuously cast products and implicitly to increase the productivity of the installation.This method contains a fuzzy controller which requires changes of the water flow value at the secondary cooling. Fuzzy system controlling in real time the distribution of the water flow rate according to the real situation in the installation and working as an adaptive. The simulations results show us that the control strategy proposed is a very efficient method for the water flow control in the secondary cooling stage