Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775532
K. Ishaque, Y. Saleem, S. Abdullah, M. Amjad, Munaf Rashid, S. Kazi
Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. It does not require any system modeling or complex mathematical equations governing the relationship between inputs and outputs. Fuzzy rules are very easy to learn and use, even by non-experts. It typically takes only a few rules to describe systems that may require several lines of conventional software code, which reduces the design complexity. By considering these advantages, this paper presents the design and analysis of a FLC controller for the magnetic levitation system. Additionally, a classical PID controller is also designed to compare the performance of both types of controllers. Results reveal that FLC found to give better transient and steady state results compare to the classical PID.
{"title":"Modeling and control of magnetic levitation system via fuzzy logic controller","authors":"K. Ishaque, Y. Saleem, S. Abdullah, M. Amjad, Munaf Rashid, S. Kazi","doi":"10.1109/ICMSAO.2011.5775532","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775532","url":null,"abstract":"Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. It does not require any system modeling or complex mathematical equations governing the relationship between inputs and outputs. Fuzzy rules are very easy to learn and use, even by non-experts. It typically takes only a few rules to describe systems that may require several lines of conventional software code, which reduces the design complexity. By considering these advantages, this paper presents the design and analysis of a FLC controller for the magnetic levitation system. Additionally, a classical PID controller is also designed to compare the performance of both types of controllers. Results reveal that FLC found to give better transient and steady state results compare to the classical PID.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91366585","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775624
M. Z. Zakaria, H. Jamaluddin, R. Ahmad, A. Muhaimin
The growing interest in multiobjective optimization algorithms and system identification resulted in a huge research area. System identification is about developing a mathematical model for representing the system observed. This paper describes the effects of genetic algorithm parameters used in multiobjective optimization algorithm (MOO) that is applied to system identification problem. Two simulated linear systems with known model structure were considered for representing the system identification problem. The performance metrics used in this study are convergence and diversity metric. These metrics show the performance of MOO when GA parameters are varied. The simulation results show the effects of GA parameter on MOO performance. A right combination of GA parameters used in MOO is shown in this study.
{"title":"Effects of genetic algorithm parameters on multiobjective optimization algorithm applied to system identification problem","authors":"M. Z. Zakaria, H. Jamaluddin, R. Ahmad, A. Muhaimin","doi":"10.1109/ICMSAO.2011.5775624","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775624","url":null,"abstract":"The growing interest in multiobjective optimization algorithms and system identification resulted in a huge research area. System identification is about developing a mathematical model for representing the system observed. This paper describes the effects of genetic algorithm parameters used in multiobjective optimization algorithm (MOO) that is applied to system identification problem. Two simulated linear systems with known model structure were considered for representing the system identification problem. The performance metrics used in this study are convergence and diversity metric. These metrics show the performance of MOO when GA parameters are varied. The simulation results show the effects of GA parameter on MOO performance. A right combination of GA parameters used in MOO is shown in this study.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"15 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73277939","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775493
S. Sahlan, M. S. Maidin, N. Wahab
In this paper, we present new results on frequency weighted balanced truncation technique based on vec and Kronecker Product. This technique is applied to single-sided case and an extension to double-sided case is also presented. Numerical example with comparisons to other techniques is also presented.
{"title":"Least square application on frequency weighted model reduction technique","authors":"S. Sahlan, M. S. Maidin, N. Wahab","doi":"10.1109/ICMSAO.2011.5775493","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775493","url":null,"abstract":"In this paper, we present new results on frequency weighted balanced truncation technique based on vec and Kronecker Product. This technique is applied to single-sided case and an extension to double-sided case is also presented. Numerical example with comparisons to other techniques is also presented.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"38 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73922508","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775592
R. Ahmad, M. H. Hashim
Using piezoelectric elements to harvest energy from ambient vibration and human motion has been of great interest recently. This study quantifies the amount of energy generated by piezoelectric device from vibration environment and human motion. Nickel metal hydride rechargeable battery has been used to store the energy generated. Throughout the experiment, the discharged 40mAh rechargeable battery can be charged to its cell voltage in less than 10 minutes in resonant vibration. Meanwhile, for human motion energy harvesting experiment, as subject running with 5km/h speed, the discharged 40mAh rechargeable battery can be charged to its cell voltage in one hour.
{"title":"Development of energy harvesting device using piezoelectric material","authors":"R. Ahmad, M. H. Hashim","doi":"10.1109/ICMSAO.2011.5775592","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775592","url":null,"abstract":"Using piezoelectric elements to harvest energy from ambient vibration and human motion has been of great interest recently. This study quantifies the amount of energy generated by piezoelectric device from vibration environment and human motion. Nickel metal hydride rechargeable battery has been used to store the energy generated. Throughout the experiment, the discharged 40mAh rechargeable battery can be charged to its cell voltage in less than 10 minutes in resonant vibration. Meanwhile, for human motion energy harvesting experiment, as subject running with 5km/h speed, the discharged 40mAh rechargeable battery can be charged to its cell voltage in one hour.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"5 4","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72582586","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775490
M. Ismail
The study of commodity price behaviour has attracts the attention of many economists and finance specialists. This is due to the fact that many less developed countries rely on the revenues generated by the commodity exports. In this paper, the nonlinear relationship because of regime shifts in four vegetable oil price series was investigated. The multivariate Markov switching vector autoregressive (MS-VAR) model with regime shifts in both the mean and the variance was employed to capture common regime shifts behaviour among the four price series. Results revealed that all the series demonstrate common regime shifts trend of declining and increasing. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).
{"title":"Modelling nonlinear relationship among vegetable oil price time series","authors":"M. Ismail","doi":"10.1109/ICMSAO.2011.5775490","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775490","url":null,"abstract":"The study of commodity price behaviour has attracts the attention of many economists and finance specialists. This is due to the fact that many less developed countries rely on the revenues generated by the commodity exports. In this paper, the nonlinear relationship because of regime shifts in four vegetable oil price series was investigated. The multivariate Markov switching vector autoregressive (MS-VAR) model with regime shifts in both the mean and the variance was employed to capture common regime shifts behaviour among the four price series. Results revealed that all the series demonstrate common regime shifts trend of declining and increasing. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"19 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75131293","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775537
L. W. Tan, F. Taip, M. N. Ibrahim, R. Kamil
Spray drying is a removal of moisture from liquid feed by breaking into droplets in a hot medium to convert into powder form. In order to ensure the product quality is at the desired specification, a good control system and good understanding on the dynamic behavior should be considered. The aims of this study are to develop empirical model of spray drying process and improve the process by implementation of PI controller. A nozzle atomizer spray dryer, Lab-Plant SD 05 Laboratory Scale Spray Dryer was used. The liquid feed was Sunquick Concentrated Orange Juice and DE 10–15 maltodextrin as the drying agent. The effects of inlet air temperature and maltodextrin concentration on final moisture content and outlet air temperature were investigated. From investigation, the effect of inlet air temperature on moisture content and outlet air temperature was greater than maltodextrin concentration. Thus, inlet air temperature was selected as manipulated variable. For modeling, the model obtained can be represented as first order process with time delay (FOPTD). In order to improve the process, the model obtained was used in simulation studies to determine the suitable tuning method by PI controller. The PI controllers were tuned by direct synthesis, min IAE method and Cohen-coon. From the observation, direct synthesis method is the most suitable tuning method for PI controller in spray drying process.
{"title":"Empirical modeling and control for spray drying of orange juice powder","authors":"L. W. Tan, F. Taip, M. N. Ibrahim, R. Kamil","doi":"10.1109/ICMSAO.2011.5775537","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775537","url":null,"abstract":"Spray drying is a removal of moisture from liquid feed by breaking into droplets in a hot medium to convert into powder form. In order to ensure the product quality is at the desired specification, a good control system and good understanding on the dynamic behavior should be considered. The aims of this study are to develop empirical model of spray drying process and improve the process by implementation of PI controller. A nozzle atomizer spray dryer, Lab-Plant SD 05 Laboratory Scale Spray Dryer was used. The liquid feed was Sunquick Concentrated Orange Juice and DE 10–15 maltodextrin as the drying agent. The effects of inlet air temperature and maltodextrin concentration on final moisture content and outlet air temperature were investigated. From investigation, the effect of inlet air temperature on moisture content and outlet air temperature was greater than maltodextrin concentration. Thus, inlet air temperature was selected as manipulated variable. For modeling, the model obtained can be represented as first order process with time delay (FOPTD). In order to improve the process, the model obtained was used in simulation studies to determine the suitable tuning method by PI controller. The PI controllers were tuned by direct synthesis, min IAE method and Cohen-coon. From the observation, direct synthesis method is the most suitable tuning method for PI controller in spray drying process.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"37 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75498294","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775623
Fatimah Sham, Ismail, K. Lumpur., Malaysia
Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regulator (MVR) system on printed circuit board by considering multi-constraint parameters. The simulation results, which are developed based on experimental measurement, show that the SOGA can propose better optimal solution compared to the initial design.
{"title":"Multi-objective optimization problems: Method and application","authors":"Fatimah Sham, Ismail, K. Lumpur., Malaysia","doi":"10.1109/ICMSAO.2011.5775623","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775623","url":null,"abstract":"Self organizing genetic algorithm (SOGA) is a class of heuristic multi-objective optimization method that has high capabilities for solving multiple conflicting objective functions. This paper presents an application of SOGA for optimizing multi-objectives components placement of multi voltage regulator (MVR) system on printed circuit board by considering multi-constraint parameters. The simulation results, which are developed based on experimental measurement, show that the SOGA can propose better optimal solution compared to the initial design.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"106 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76236692","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775468
R. Alinia, E. N. Lay
The molar volume of binary systems at high pressures is an important key for production of micro and nanoparticles production. This paper compares two different equations of states of Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) for correlating and optimizing of operating conditions for 20 different binary systems to produce micro and nanoparticles. The effects of the temperature and pressure of binary systems on the molar volume of organic solvents have also been investigated. It is observed that by increasing the pressure of the system at a constant temperature, the molar volume of the liquid phase decreases, while at higher pressures a sudden volume expansion can lead to minimum molar volume of liquid phase and these conditions can be reported as a proper condition in producing micro and nanoparticles.
{"title":"Modeling and optimization of molar volume for the binary systems containing nearcritical and supercritical CO2 applicable to micro and nanoparticles production","authors":"R. Alinia, E. N. Lay","doi":"10.1109/ICMSAO.2011.5775468","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775468","url":null,"abstract":"The molar volume of binary systems at high pressures is an important key for production of micro and nanoparticles production. This paper compares two different equations of states of Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) for correlating and optimizing of operating conditions for 20 different binary systems to produce micro and nanoparticles. The effects of the temperature and pressure of binary systems on the molar volume of organic solvents have also been investigated. It is observed that by increasing the pressure of the system at a constant temperature, the molar volume of the liquid phase decreases, while at higher pressures a sudden volume expansion can lead to minimum molar volume of liquid phase and these conditions can be reported as a proper condition in producing micro and nanoparticles.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"201 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75747180","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775557
A. Ibrahim, M. N. Husain, A. R. Othman, M. Johal
This paper presents a 5.8 GHz single stage cascode low noise amplifier using T-matching techniques for IEEE 802.16 standard. The amplifier use FHX76LP Low Noise SuperHEMT FET. The design simulation process is using Advance Design System (ADS) software. The cascode low noise amplifier (LNA) produced gain of 17.21dB and noise figure (NF) at 0.845dB. The input reflection (S11) and output return loss (S22) are −12.71dB and −15.52dB respectively. The bandwidth of the amplifier is 1GHz. The input sensitivity is complying with the IEEE 802.16 standards.
{"title":"Simulation of single stage cascode low noise amplifier at 5.8GHz using t-matching network","authors":"A. Ibrahim, M. N. Husain, A. R. Othman, M. Johal","doi":"10.1109/ICMSAO.2011.5775557","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775557","url":null,"abstract":"This paper presents a 5.8 GHz single stage cascode low noise amplifier using T-matching techniques for IEEE 802.16 standard. The amplifier use FHX76LP Low Noise SuperHEMT FET. The design simulation process is using Advance Design System (ADS) software. The cascode low noise amplifier (LNA) produced gain of 17.21dB and noise figure (NF) at 0.845dB. The input reflection (S11) and output return loss (S22) are −12.71dB and −15.52dB respectively. The bandwidth of the amplifier is 1GHz. The input sensitivity is complying with the IEEE 802.16 standards.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"19 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81470269","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}
Pub Date : 2011-04-19DOI: 10.1109/ICMSAO.2011.5775615
M. Mohammadi, R. Tavakkoli-Moghaddam, H. Rostami
A hub location problem appears in a variety of applications, such as airline systems, cargo delivery systems and telecommunication network design. In this paper, we consider a central mine and a number of hubs (e.g., factories) connected to a number of nodes (e.g., shops or customers) in a network. First we design the hub network, and then schedule the raw materials transportation from the central mine to hubs (i.e., factories). In this case, we consider only one transportation system regarded as single machine scheduling. Furthermore, we use this hub network to solve the scheduling model. In this paper, we study the single allocation hub covering problem with capacity constraints, known as capacitated single allocation hub covering location problem (CSAHCLP), and then present a mixed-integer programming (MIP) model. In addition, we propose an efficient genetic algorithm and a hybrid shuffled frog leaping algorithm to solve the first and second stages of our presented model, respectively. A number of test problems are solved by the forgoing algorithms and the related results are compared with those results obtained by the Lingo software.
{"title":"Genetic and hybrid shuffled frog leaping algorithms for solving a 2-stage model for a hub covering location network","authors":"M. Mohammadi, R. Tavakkoli-Moghaddam, H. Rostami","doi":"10.1109/ICMSAO.2011.5775615","DOIUrl":"https://doi.org/10.1109/ICMSAO.2011.5775615","url":null,"abstract":"A hub location problem appears in a variety of applications, such as airline systems, cargo delivery systems and telecommunication network design. In this paper, we consider a central mine and a number of hubs (e.g., factories) connected to a number of nodes (e.g., shops or customers) in a network. First we design the hub network, and then schedule the raw materials transportation from the central mine to hubs (i.e., factories). In this case, we consider only one transportation system regarded as single machine scheduling. Furthermore, we use this hub network to solve the scheduling model. In this paper, we study the single allocation hub covering problem with capacity constraints, known as capacitated single allocation hub covering location problem (CSAHCLP), and then present a mixed-integer programming (MIP) model. In addition, we propose an efficient genetic algorithm and a hybrid shuffled frog leaping algorithm to solve the first and second stages of our presented model, respectively. A number of test problems are solved by the forgoing algorithms and the related results are compared with those results obtained by the Lingo software.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":"167 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80516250","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}
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