{"title":"Power system monitoring using subspace identification","authors":"A. Mohammadi, H. Khaloozadeh, R. Amjadifard","doi":"10.1109/ICCIAUTOM.2011.6356624","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356624","url":null,"abstract":"In this paper, we proposed a novel index for monitoring and prediction of oscillatory instability (Hopf Bifurcation) in power systems. Considering modern control techniques, the index uses damping information of the whole power system. Therefore, we call it as DMI (Damping Matrix Index). It easily uses power system available signals such as electro-mechanical torques, speeds and angles of synchronous machines to predict oscillatory instability. Since the values of each monitoring index hides behind its estimation method and the proposed index is based on state space model of power system, we use Subspace System Identification (SSI) algorithms to estimate the proposed index. Based on SSI techniques and the proposed index, we suggest an algorithm for power system monitoring. Tests and simulations have been conducted using the proposed index on simulated measurements of a two-area 4-machine power system. Results express good performance of DMI in comparison with other well-known oscillatory instability indices.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127074519","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}
Mahsa Lotfibonab, Mohammad Kiyanfar, M. Ghodsi, Parisa Lotfibonab
{"title":"Parallel parking assistant system on car-like mobile robot","authors":"Mahsa Lotfibonab, Mohammad Kiyanfar, M. Ghodsi, Parisa Lotfibonab","doi":"10.1109/ICCIAUTOM.2011.6356796","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356796","url":null,"abstract":"This paper presents an approach to solve semi-active non-holonomic vehicle parking assistant problem. This system can be automatically drive a vehicle and can be used during day or and night. A robust algorithm for this system is developed and embedded controller hardware is designed and programmed to parallel parking maneuver. For this purpose we used the kinematic model of car and then developed it on car-like mobile robot, then designed trajectory for parking maneuver path planning. The path planning includes simple geometric equations. In this approach, infrared distance sensor is mounted on the car to find parking space and used infrared distance sensor for localize the vehicle position and avoid obstacles. Experimental and simulation results show good performance in the algorithm for parking system under parallel parking. Parking maneuver is safer and efficient through using these advanced safety techniques for parking. Simulation results obtained with the presented system are applied for semi-active parking assistance system.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134470283","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":"Genetic-PID control of elbow joint angle for functional electrical stimulation: A simulation study","authors":"N. Shariati, A. Maleki, A. Fallah","doi":"10.1109/ICCIAUTOM.2011.6356647","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356647","url":null,"abstract":"Functional electrical stimulation (FES) systems restore motor functions after spinal cord injury (SCI). In this study, we used a model consists of a joint, two links with one degree of freedom, and two muscles as flexor and extensor of the joint, which simulated in MATLAB using SimMechanics and Simulink Toolboxes. The muscle model is based on Zajac musculotendon actuator and composed of a nonlinear recruitment curve, a nonlinear activation-frequency relationship, calcium dynamics, fatigue/recovery model, an additional constant time delay, force-length and force-velocity factors. In this study, we used a classic controller for regulating the elbow joint angle; a Proportional- Integral- Derivative controller. First, we tuned the PID coefficients with trial and error, and then a genetic algorithm was used to optimize them. This genetic-PID controller uses genetic algorithm to get the required pulse width for stimulating the biceps to reach the elbow joint to the desired angle. The fitness function was defined as sum square of error. The results for genetic-PID controller show faster response for reaching the range of the set point than the PID controller tuned by trial and error. However the genetic-PID is much better in terms of the rise time and the settling time, the PID tuned by trial and error has no overshoot. The time to reach the zero steady state error is half in genetic-PID in comparison to PID tuned by trial and error.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133463858","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":"On the skew and sway control of container cranes","authors":"M. Mahrueyan, H. Khaloozadeh","doi":"10.1109/ICCIAUTOM.2011.6356692","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356692","url":null,"abstract":"It is conventional to control the sway of the container cranes based on a two dimensional model. Unfortunately, two dimensional models are not capable of controlling the skew of container cranes. Moreover, the anti-sway controllers make the skew intensified. In this paper, we add another degree of freedom to a three dimensional container crane model by installing two wagons in the trolley to impose a couple force for regulating both its sways and skew to zero using State Dependent Riccati equation (SDRE) controller. As the couple force only have rotational effect on the container platform, and is a free vector it will not change the dynamic of the system. Furthermore, SDRE controllers are the extended version of LQR, they will lead into an optimal result while being simple in controlling a system with three inputs and being loyal to nonlinear characteristics of the system. We will simulate the controller on a 3D model with the trolley acceleration of 0.8.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134112261","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}
J. Ghafouri, A. Sakhavati, R. Jovari, G. Gharehpetian
{"title":"PI controller for quarter vehicle active suspension system with optimized gains using PSO algorithm","authors":"J. Ghafouri, A. Sakhavati, R. Jovari, G. Gharehpetian","doi":"10.1109/ICCIAUTOM.2011.6356687","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356687","url":null,"abstract":"The active suspension is the main technology for vehicles to achieve both ride control and comfort performance. In this paper, a Proportional- Integral (PI) controller is applied on a quarter models to control the active suspension system. Also, the ride quality, travel suspension and handling is improved. The values of PI controller gain are tuned by using Particle Swarm Optimization (PSO) algorithm to achieve ride stability and comfort performance of vehicles. In order to design the proposed PI controller, a new cost function has been defined. PSO algorithm has been applied to optimize new cost function. The cost function is considered as a sum of peak response vector and settling time vector of body acceleration. The results demonstrate that the proposed PI controller improves the tradeoff between ride comfort and suspension travel and tire deflection compared to the PI controller tuned using Genetic Algorithm (GA) and passive suspension system.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133097837","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 graphical approach to design PI controller for integrator plus dead-time processes","authors":"I. Momenizadeh, A. Madady, H. Reza-Alikhani","doi":"10.1109/ICCIAUTOM.2011.6356677","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356677","url":null,"abstract":"The proportional-integral (PI) and proportional integral-derivative (PID) controllers are widely used in lots of industrial control systems for many years since Ziegler and Nichols proposed their first PID tuning scheme. This is because the PI/PID controller structure is simple and its principle is easier to understand than most other advanced controllers. The aim and the contribution of this paper is to develop a novel graphical method to design the PI controller for industrial processes which are modeled by an integrator plus dead time (IPDT) transfer function. For this purpose, a set of loci is developed and plotted in the controller parameters plane, which one of the quantities consists of gain and phase margins, gain and phase crossover frequencies and Smith's vector margin is constant on each locus. Next, the desired closed loop system characteristics are stated in the form of two loci. By sketching these two loci and obtaining their intersection point the controllers parameters are determined. Finally some examples are given to demonstrate the effectiveness of the proposed method.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125464719","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":"Initial test and design of a soft sensor for flow estimation using vibration measurements","authors":"R. Safari, B. Tavassoli","doi":"10.1109/ICCIAUTOM.2011.6356765","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356765","url":null,"abstract":"This article presents results of an experimental study that indicates a correlation between the flow of the fluid in a pipe and the resulting vibrations. The main idea is to investigate the possibility of developing a low-cost, nonintrusive, flow rate estimation technique with a simple soft-sensor based on the dependency of flow rate on the vibration levels. In this work, the pipe vibrations were measured using a capacitive microphone installed on the pipe. Microphone time domain data were recorded at different flow rate values and then transformed to the frequency domain for further analysis. Empirical results indicate that there is a relationship between the output signal of microphone in frequency domain and the flow rate in the pipe. In other words, investigations show that pipe vibration levels are proportional to the fluid flow rate. Also, to study the effect of microphone installation location, the experiments were repeated for different microphone locations.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130292765","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 GOBF-wavelet wiener model for identification of nonlinear dynamic systems","authors":"M. Salimifard, A. Safavi, M. Shaheed","doi":"10.1109/ICCIAUTOM.2011.6356832","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356832","url":null,"abstract":"Since orthogonal representations of functions are among the most desirable and efficient approximation schemes, this paper proposes an appropriate combination of two classes of orthonormal basis functions for nonlinear dynamic system identification. For this purpose, the nonlinear Wiener model is studied which consists of a linear time invariant (LTI) subsystem followed by a nonlinear static function. To describe the linear part, Generalized Orthonormal Basis Functions (GOBFs) are invoked. These orthonormal bases include the familiar Laguerre, FIR, two-parameter Kautz and Hambo bases as special cases. The nonlinear static part is approximated based on orthogonal wavelets with compact support. By appropriate combination of these two parts, a linear-in-the-parameter model is obtained. Therefore, parameter estimation is simplified to an ordinary least squares problem. Two nonlinear dynamic case studies, a simulated fermentation process and a real singlelink flexible manipulator system, are also provided which demonstrate the effectiveness of the proposed algorithm with satisfactory performance.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127079423","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 new soft sensors based on PCA, genetic algorithm and neural network for parameters estimation of a petroleum reservoir","authors":"H. Alaei","doi":"10.1109/ICCIAUTOM.2011.6356768","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356768","url":null,"abstract":"A new set of soft sensors is presented, based on principal component analysis (PCA), genetic algorithm (GA) and artificial neural network (ANN) methodologies for parameters estimation of a petroleum reservoir. The crude diagrams of reservoir parameters provide valuable evaluation for petro-physical parameters. These parameters, however, are usually difficult to measure due to limitations insights on cost, reliability considerations, inappropriate instrument maintenance and sensor failures. PCA and genetic algorithm is utilized to develop new soft sensors to incorporate reliability and prediction capabilities of ANN. Genetic algorithms are used to decide the initial weights of the gradient decent methods so that all the initial weights can be searched intelligently. The genetic operators and parameters are carefully designed and set avoiding premature convergence and permutation problems. The proposed algorithm combines the local searching ability of the gradient-based back-propagation (BP) strategy with the global searching ability of genetic algorithms in the PCA subspaces. The developed soft sensors are applied to reconstruct parameters of Marun reservoir located in Ahwaz, Iran, by utilizing the available geophysical well log data.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127229342","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":"Kinematic control of a seven DOF robot manipulator with joint limits and obstacle avoidance using neural networks","authors":"H. Toshani, M. Farrokhi","doi":"10.1109/ICCIAUTOM.2011.6356794","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2011.6356794","url":null,"abstract":"In this paper, a numerical method based on neural network is presented to solve inverse kinematics problem of redundant manipulators subject to joint angle limits and obstacles in the workspace of the robot. The proposed method is performed in real time, where radial-basis function neural network is used to obtain joint angles of the robot. In order to satisfy constrains, a method called Nonlinear Quadratic Programming (NQP) is applied to update NN's weights. Moreover, it will be shown that if the Kuhn-Tucker conditions are satisfied, then convergence of NN's weights is guaranteed. Since the process is performed on-line, the computational time of obtaining the inverse kinematics solution must be suitable for real-time applications such as control of the robot manipulators. Moreover, since the convergence rate of the problem depends on the initial weights of the neural network, several initial weights are used relative to suitable factors such as feasibility of the solution and vicinity of the desired point. Simulations are carried out on the PA-10 redundant manipulator to show effectiveness of the proposed algorithm.","PeriodicalId":438427,"journal":{"name":"The 2nd International Conference on Control, Instrumentation and Automation","volume":"819 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127591844","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}