{"title":"The z-Transform","authors":"M. S. Fadali","doi":"10.1201/9781315219707-6","DOIUrl":"https://doi.org/10.1201/9781315219707-6","url":null,"abstract":"","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128204517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiple Linear Regression Analysis for Prediction of Boiler Losses and Boiler Efficiency","authors":"Chayalakshmi C.L, Jangamshetti D.S, S. Sonoli","doi":"10.5121/ijics.2018.8201","DOIUrl":"https://doi.org/10.5121/ijics.2018.8201","url":null,"abstract":"Calculation of boiler efficiency is essential if its parameters need to be controlled for either maintaining or enhancing its efficiency. But determination of boiler efficiency using conventional method is time consuming and very expensive. Hence, it is not recommended to find boiler efficiency frequently. The work presented in this paper deals with establishing the statistical model for boiler efficiency using major boiler losses. Collected data from an eminent industry shows that the loss due to dry flue gas, loss due to hydrogen content in fuel and loss due to moisture content in fuel are the major losses. The boiler efficiency depends mainly on these losses. Multiple regression analysis is used for building the model.","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130451633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Control of a Heat Exchanger Using Neural Network Predictive Controller Combined with Auxiliary Fuzzy Controller","authors":"Neethu T R, Kalaichelvi P, V. V","doi":"10.5121/IJICS.2018.8202","DOIUrl":"https://doi.org/10.5121/IJICS.2018.8202","url":null,"abstract":"The paper presents an advanced control strategy that uses the neural network predictive controller and the fuzzy controller in the complex control structure with an auxiliary manipulated variable. The controlled tubular heat exchanger is used for pre-heating of petroleum by hot water. The heat exchanger is modelled as a nonlinear system with the interval parametric uncertainty. The set point tracking and the disturbance rejection using intelligent control strategies are investigated. The control objective is to keep the outlet temperature of the pre-heated petroleum at a reference value. Simulations of control of the tubular heat exchanger are done in the Matlab/Stimulant environment. The complex control structure with two controllers is compared with the conventional PID control, fuzzy control and NNPC. Simulation results confirm the effectiveness and superiority of the complex control structure combining the NNPC with the auxiliary fuzzy controller.","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116891728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Further Research on the Quadrangular Prism of Self Invisibility (II)","authors":"Yizong He","doi":"10.5121/IJICS.2017.7401","DOIUrl":"https://doi.org/10.5121/IJICS.2017.7401","url":null,"abstract":"","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127402592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chayalakshmi C.L, Basavakumar Jigalur, Prasanna Kori, Pramada Karav, R. Patil
{"title":"Automated Chilli Seed Extractor Useful for Indian Farmers","authors":"Chayalakshmi C.L, Basavakumar Jigalur, Prasanna Kori, Pramada Karav, R. Patil","doi":"10.5121/IJICS.2017.7402","DOIUrl":"https://doi.org/10.5121/IJICS.2017.7402","url":null,"abstract":"Till today chilli seeds are separated manually and there is no specific machine designed to separate seed from its pulp. The manual process is carried out by hammering chilli fruits with wooden stick, separating the husk using hand separator. This manual method is quite tiresome mainly due to the inhalation of fine particles of chilli fruits by labours. Its pungency results in continuous sneezing and irritation for labours. Hence, it is necessary to eliminate laborious work and time consumption. The automated process of chilli seed extraction will be the better solution for this problem, which helps farmers. This automated method can also be adopted by food industries for large scale extraction of chilli seed, as well.","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"2002 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128287451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real Time Data Acquisation of Solar Panel Using Arduino and Further Recording Voltage of the Solar Panel","authors":"Shubhankar Mandal, Dilbag Singh","doi":"10.5121/IJICS.2017.7303","DOIUrl":"https://doi.org/10.5121/IJICS.2017.7303","url":null,"abstract":"This paper presents the simulation of real time data acquisition of a solar panelin LabVIEW. A prototype model has been made where two Arduino were used. One is used for interfacing the solar panel with the PC for acquisition of data and the other one isused with the servomotor. The servomotor is linked with the solar panel with the help of a shaft and is rotated according to the LDR output. Two LDR is fixed on both the sides of the solar panel for tracing the sunlight. The whole simulation is performed with the help of LINX firmware wizard, which is available in LabVIEW Maker’s Hub. Data were collected of different days in different duration of time. According to the collected data, behaviour and the voltage of the solar module was analysed. This paper describes the design of a low cost, solar tracking and real time data acquisition system.","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132855000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Quadrangular Prism of Self Invisibility","authors":"Yizong He","doi":"10.5121/IJICS.2017.7302","DOIUrl":"https://doi.org/10.5121/IJICS.2017.7302","url":null,"abstract":"A quadrangular prism of self-invisibility is originally reported in this paper. It is a self-invisible unit, which does not depend on any outer refractive materials or reflective mirrors. Four identical triangular prisms with the lateral faces of mirrors, divided into two groups, are symmetrically placed on two transparent rectangular prisms in a symmetrical way. Two identical rectangular prisms serve as the lateral faces of a quadrangular prism. Two incident beams, parallel to the rectangular prisms, will be reflected by relevant eight mirror faces of all the triangular prisms, in sequence out of the whole system as if the prisms do not exist as long as all the base angles of triangular prisms are adjusted accurately. One of the potential applications will be mentioned briefly.","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131507562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of PID Controllers Integrator System with Time Delay and Double Integrating Processes","authors":"Patil B.S, M. WaghmareL., D. UplaneM.","doi":"10.5121/IJICS.2017.7301","DOIUrl":"https://doi.org/10.5121/IJICS.2017.7301","url":null,"abstract":"","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125240492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Torque Control of AC Motor with FOPID Controller Based on Fuzzy Neural Algorithm","authors":"G. Farahani","doi":"10.5121/IJICS.2017.7201","DOIUrl":"https://doi.org/10.5121/IJICS.2017.7201","url":null,"abstract":"","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124028763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calibration of Inertial Sensor by Using Particle Swarm Optimization and Human Opinion Dynamics Algorithm","authors":"V. Sinha, A. Maurya","doi":"10.5121/IJICS.2017.7101","DOIUrl":"https://doi.org/10.5121/IJICS.2017.7101","url":null,"abstract":"An Inertial Navigation System (INS) can easily track position, velocity and orientation of any moving vehicle. Generally, deterministic errors are present in an uncalibrated Inertial Measurement Unit (IMU) which leads to the requirement of an accurate estimation of navigation solution. These inertial sensors, thus, needs to be calibrated to reduce the error inherent in these systems. By mathematical model of IMU including both accelerometer and gyroscope is utilized for the purpose of error calibration. Particle Swarm Optimization (PSO) and Human Opinion Dynamics (HOD) Optimization based calibration techniques have used to obtain error parameters such as bias, scale factor and misalignment errors.","PeriodicalId":421531,"journal":{"name":"Instrumentation and Control Systems","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132490113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}