{"title":"Hybrid PV/wind power system control for maximum power extraction and output voltage regulation","authors":"Siavash Taghipour Broujeni, S. Fathi, J. Moghani","doi":"10.1109/ICCIAUTOM.2013.6912809","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912809","url":null,"abstract":"The objective of this paper is to analyze different control strategies for hybrid PV/wind power systems. In addition, designing the desirable controller for proposed hybrid system is the other output of this paper. There are two important goals in designing the control strategy for power systems with renewable energy sources. One important issue is extracting maximum power from the renewable energy sources such as photovoltaic and wind energy. These types of energy sources deliver a different amount of power to the power system under different conditions. There are various strategies proposed in the literature to extract maximum power from power sources. One of the most applicable strategies has been used in this paper and the performance of this strategy has been evaluated. The other issue is regulating the output voltage around a pre-determined value, in this case, the output voltage of the DC/DC converter must be controlled so that the DC/AC inverter delivers the appropriate voltage at the AC side. In this paper a hybrid Double-input (PV/Wind) power system has been proposed and simulated in the MATLAB environment and different control strategies have been evaluated. The proposed power system consists of a DC/DC converter, Wind Energy Conversion systems (WEC), and PV arrays. The model of wind power plants consists of Wind Turbine, PMSG Generator and a rectifier to deliver DC electrical power. PV modules can be connected with different configurations to form PV Arrays. The simulation of PV cells, modules, and arrays has been addressed in this paper. At the end of the paper, the performance of the proposed control strategy is studied.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115788605","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":"Synchronization of two Lur'e differential inclusions with input sector nonlinearity and unknown parameters","authors":"A. Abooee, M. Haeri","doi":"10.1109/ICCIAUTOM.2013.6912818","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912818","url":null,"abstract":"This paper deals with the synchronization of two Lur'e differential inclusions containing sector nonlinearities. Lyapunov stability theorem is employed to design the control inputs. The controllers are designed considering three important practical features in physical systems. First, differential equation part of the Lur'e differential inclusion is assumed to be convex. Second, it is presumed that parameters of the Lur'e differential inclusion are not completely known. Third, sector nonlinearities are considered on control inputs applied to the Lur'e differential inclusions. To assess performance and effectiveness of the proposed controllers, a rotor dynamic system is simulated.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121058126","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 new recursive algorithm for robotized beating heart surgery using ECG based covariance resetting","authors":"E. Rezai, I. Sharifi, H. Talebi, S. Nikravesh","doi":"10.1109/ICCIAUTOM.2013.6912849","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912849","url":null,"abstract":"Robotic-assisted beating heart surgery aims to eliminate the relative motion of heart, so that, the surgeon can operate on a stabilized heart without any kind of additional instruments. In this literature, the robot actively cancels heart motion by closely following a point of interest (POI) of heart surface. In this paper, we use biological signal such as ECG or blood pressure, to improvement of tracking error. This can be achieved using the fact that the ECG signal is prior to the heart motion.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121788014","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 an adaptive controller for a 2-DOF MEMS vibratory gyroscope to obtain perfect tracking and angular velocity estimation with noise, disturbance and parameter variation analysis","authors":"E. Ranjbar, A. Suratgar, M. Kabganian","doi":"10.1109/ICCIAUTOM.2013.6912839","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912839","url":null,"abstract":"In this paper, an accurate model of the MEMS vibratory z-axis gyroscope is demonstrated and an adaptive controller is designed to make the sense mode accelerometer output a sinusoidal oscillation along the y axis of the gyroscope with the desired amplitude and frequency. The designed scheme has the capability of estimating the angular velocity due to the persistently excitation condition. Ultimately, the noise, disturbance and parameter variation analysis is carried out through simulation to check up the robustness of the overall system. The simulation results are promising.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134282904","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 singularity-free approach for safe interaction of robot assisted rehabilitation, based on model-free impedance control","authors":"I. Sharifi, A. Doustmohammadi, H. Talebi","doi":"10.1109/ICCIAUTOM.2013.6912805","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912805","url":null,"abstract":"In this paper, using a hybrid control technique for robotic rehabilitation, a singularity-free control algorithm for the safe robot-human interaction is proposed. With the use of max-plus algebra, a hybrid controller is designed to guarantee feasible robot motion in the vicinity of the kinematic singularities or going through and staying at the singular configuration. The approach taken in this paper uses a model-free impedance control and hence it does not require any information about the model except the upper bounds on the system matrix. The stability of the approach is investigated using multiple Lyapunov function theory. The proposed control algorithm is applied to a six-axis industrial robot arm, namely PUMA 560 and the results demonstrate the validity of the proposed control scheme.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134552703","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":"Fuzzy optimized control based on T-S model for satellite attitude control system to reduce limit cycle","authors":"Sobutyeh Rezanezhad, N. Ghahramani","doi":"10.1109/ICCIAUTOM.2013.6912807","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912807","url":null,"abstract":"In this paper, an algorithm was presented to control the satellite attitude in orbit in order to reduce the fuel consumption and increase longevity of satellite. Because of proper operation and simplicity, fuzzy controller was used to save fuel and analyze the uncertainty and nonlinearities of satellite control system. The presented control algorithm has a high level of reliability facing unwanted disturbances considering the satellite limitations. The controller was designed based on Takagi-Sugeno satellite dynamic model, a powerful tool for modeling nonlinear systems. Inherent chattering related to on-off controller produces limit cycles with low frequency amplitude. This increases the system error and maximizes the satellite fuel consumption. Particle Swarm Optimization (PSO) algorithm was used to minimize the system error. The satellite simulation results show the high performance of fuzzy on-off controller with the presented algorithm.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133881862","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":"Delayed time varying singular systems analysis using legendre polynomials","authors":"A. Zeynabi, M. Shafiee","doi":"10.1109/ICCIAUTOM.2013.6912835","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912835","url":null,"abstract":"In this paper, we discussed the methods of approximating delayed time varying singular systems response using legendre orthogonal functions. At first properties of delayed legender polynomials are introduced such as the operational integral, delay, delayed integral and product matrixes which are required to convert differential algebraic equations to fully algebraic equations. Then our method for approximating delayed time varying singular systems by using the properties of orthogonal polynomials, is explained. Finally numerical examples are given to show the validity and accuracy of this proposal method.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"84 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113990115","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 design of an autopilot for roll motion in an airplane using LQR and flexible dynamic model","authors":"H. Bayani, Jalal Hajipour","doi":"10.1109/ICCIAUTOM.2013.6912832","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912832","url":null,"abstract":"Increasing demands for autopilot systems in order to help pilots in every kind of maneuver and avionics caused great researches and investments in this area. One of the most important fields in design and fabrication of the autopilots is control system design. Since these systems are simulators of an experienced pilot commands, we have to find a way in order to omit pilot wrong decisions in any kind of missions. This is a tracking problem with zero steady state errors. In this article design of an airplane autopilot for roll motion using LQR is proposed which use Luenberger observer for flexible model of the system in order to being kept away from instability. This observer had omitted flexible model effects and improved performance of the system, quality of the responses and made robust system against disturbances. The results show pleasant match with desired inputs.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114417914","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":"Bilateral control of teleoperation systems via robust PID controllers based on LMI","authors":"A. Roushandel, A. Khosravi, A. Alfi","doi":"10.1109/ICCIAUTOM.2013.6912802","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912802","url":null,"abstract":"Time-delay in communication channels and uncertainty in different parts of the teleoperation systems are considered to be a major group of destructive factors in stability and performance of these systems. This paper suggests a new method based on a Linear Matrix Inequality (LMI) approach to establish robust PID controllers. The stability and performance of the system must be ensured by these controllers in spite of mentioned sources of instability. The proposed method requires two controllers: one for the slave site called slave controller in addition to a master controller in the master site. The local slave controller is in charge of motion tracking. Simultaneously, the master controller is responsible for force tracking, as well as stabilizing of the overall system. Both of the local PIP controllers are established to meet objectives of the design via employing the LMI-based H∞ theory. Applying the proposed structure provides a control scheme for bilateral teleoperation systems with the lowest number of signal transmission. Additionally an LMI-based approach raises the feasibility of the related convex optimization problems using in control design procedure for a wide range of weighting functions.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950972","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}
S. Rezazadeh, M. Ardestani, Parichehr Shahidi Sadeghi
{"title":"Optimal attitude control of a quadrotor UAV using Adaptive Neuro-Fuzzy Inference System (ANFIS)","authors":"S. Rezazadeh, M. Ardestani, Parichehr Shahidi Sadeghi","doi":"10.1109/ICCIAUTOM.2013.6912838","DOIUrl":"https://doi.org/10.1109/ICCIAUTOM.2013.6912838","url":null,"abstract":"This paper develops an Adaptive Neuro-Fuzzy Inference System (ANFIS) to control a quadrotor UAV. Adaptive capabilities of the proposed controller help to stabilize the complex and under-actuated rotorcraft system. Parameters of the controller are optimized using Nondominated Sorting Genetic Algorithm-II. Simulations show that ANFIS improves response properties compared to simple PID control.","PeriodicalId":444883,"journal":{"name":"The 3rd International Conference on Control, Instrumentation, and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129529240","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}