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2013 IEEE International Conference on Control Applications (CCA)最新文献

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Performance investigation of Shunt Active Power Filter with PI and fuzzy controllers 带PI和模糊控制器的并联有源电力滤波器性能研究
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662908
A. M. Gore, D. More
{"title":"Performance investigation of Shunt Active Power Filter with PI and fuzzy controllers","authors":"A. M. Gore, D. More","doi":"10.1109/CCA.2013.6662908","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662908","url":null,"abstract":"The objective of this paper is to investigate performance of proportional-integral (PI) and fuzzy controllers for Shunt Active Power Filter (SAPF). Instantaneous reactive power theory (IRP) and synchronous reference frame theory (SRF) are used to generate reference current signals of SAPF. DC capacitor voltage is maintained constant using PI, Mamdani fuzzy and Takagi-Sugeno (TS) fuzzy controllers. Performance is analyzed using simulation of SAPF with IRP and SRF reference current generation methods with PI and fuzzy controllers. Fuzzy controller has better results compare to PI controller. TS fuzzy controller is required less number of fuzzy sets, rules and computational time compare to Mamdani fuzzy controller.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129733311","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}
引用次数: 11
Synthetic jet actuator based adaptive neural network control of nonlinear fixed pitch wind turbine blades 基于合成射流致动器的非线性定距风力发电机叶片自适应神经网络控制
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662759
D. Deb, Sukanya Sonowal
{"title":"Synthetic jet actuator based adaptive neural network control of nonlinear fixed pitch wind turbine blades","authors":"D. Deb, Sukanya Sonowal","doi":"10.1109/CCA.2013.6662759","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662759","url":null,"abstract":"This paper presents a neural network-based adaptive compensation scheme to cancel the effect of uncertain, highly complex and dynamic synthetic jet actuator nonlinearities. Approximation of a nonlinearly parameterized model of synthetic jet actuator characteristics by a linearly parameterized function is performed using neural network approximators. The nonlinearity function is approximated over a range of rotor rotational speed of a wind turbine blade. An adaptive inverse is employed for cancelling the effect of actuator nonlinearities, which is accomplished by use if another neural network. Adaptive update laws are also employed for estimation of blade physical dimensional parameters. A state feedback control law is designed to control the nonlinear wind turbine dynamics in presence of signal dependent actuator nonlinearities.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132098182","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}
引用次数: 12
Reduction of cross-coupling between X-Y axes of piezoelectric scanner stage of atomic force microscope for faster scanning 减少原子力显微镜压电扫描级X-Y轴间交叉耦合，提高扫描速度
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662791
Habibullah, H. Pota, I. Petersen, M. S. Rana
{"title":"Reduction of cross-coupling between X-Y axes of piezoelectric scanner stage of atomic force microscope for faster scanning","authors":"Habibullah, H. Pota, I. Petersen, M. S. Rana","doi":"10.1109/CCA.2013.6662791","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662791","url":null,"abstract":"In this paper we describe the cross-coupling effect between X-Y axes of piezoelectric tube (PZT) scanner used in an atomic force microscope (AFM). During raster scanning X-Y axes induced cross-coupling effect in the lateral positioning of the scanner stage of the AFM and as a result, it produces blurred or distorted images. To address this effect, an LQG controller is designed and implemented on AFM which minimizes the cross-coupling effect between the axes mainly at the resonance frequency of the scanner tube. The proposed controller has an integral action with the error signal which makes it possible to track the reference signal and a significant damping of the resonant modes of the PZT in the X and Y axes. This controller compensates the cross-coupling between X-Y axes dynamics of the AFM system, reducing the artifacts instigating by the system dynamic behavior at high scan rates. The closed-loop frequency responses for both the axes have achieved high bandwidth. Consequently, scanned results are evaluated as a better one than the open-loop of the AFM.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131327588","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}
引用次数: 11
Efficient implementation of the Riccati recursion for solving linear-quadratic control problems 求解线性二次控制问题的Riccati递归的有效实现
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662901
G. Frison, J. B. Jørgensen
{"title":"Efficient implementation of the Riccati recursion for solving linear-quadratic control problems","authors":"G. Frison, J. B. Jørgensen","doi":"10.1109/CCA.2013.6662901","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662901","url":null,"abstract":"In both Active-Set (AS) and Interior-Point (IP) algorithms for Model Predictive Control (MPC), sub-problems in the form of linear-quadratic (LQ) control problems need to be solved at each iteration. The solution of these sub-problems is typically the main computational effort at each iteration. In this paper, we compare a number of solvers for an extended formulation of the LQ control problem: a Riccati recursion based solver can be considered the best choice for the general problem with dense matrices. Furthermore, we present a novel version of the Riccati solver, that makes use of the Cholesky factorization of the Pn matrices to reduce the number of flops. When combined with regularization and mixed precision, this algorithm can solve large instances of the LQ control problem up to 3 times faster than the classical Riccati solver.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"401 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116509453","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}
引用次数: 51
A novel trajectory-based active fault-tolerant control: Application to a Wind Turbine system 一种新的基于轨迹的主动容错控制方法:在风力发电系统中的应用
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662761
Tushar Jain, J. Yamé, D. Sauter
{"title":"A novel trajectory-based active fault-tolerant control: Application to a Wind Turbine system","authors":"Tushar Jain, J. Yamé, D. Sauter","doi":"10.1109/CCA.2013.6662761","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662761","url":null,"abstract":"In this paper, we present a real-time mechanism to accommodate faults occurring in a Wind Turbine (WT) system. The demonstrated mechanism lies under the taxonomy of Active Fault-tolerant Control (FTC) systems, namely the online redesign based approach. In the proposed approach, we do not use any a priori information about the model of the turbine in real-time. In fact, we use online measurements generated by the WT. Based on the given control specifications, and the observed measurement an occurred fault is accommodated by redesigning the controller online such that the WT generates rated power even under faulty conditions. Secondly, no explicit fault diagnosis (FD) module is used in this approach. As a result, issues of model uncertainty, false alarms, etc. associated with an integrated FD and controller reconfiguration approach to FTC systems are not experienced here.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133229403","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}
引用次数: 0
Underwater vehicle near real time state estimation 水下航行器近实时状态估计
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662806
Yiming Chen, Dongfang Zheng, P. Miller, J. Farrell
{"title":"Underwater vehicle near real time state estimation","authors":"Yiming Chen, Dongfang Zheng, P. Miller, J. Farrell","doi":"10.1109/CCA.2013.6662806","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662806","url":null,"abstract":"Acoustic time-of-flight positioning schemes are widely implemented for aiding underwater inertial navigation systems. The ping-response protocol and asynchronous nature of the returns of long-baseline (LBL) systems do not satisfy the standard assumptions necessary for Extended Kalman Filter (EKF) solutions. This paper presents a Near-Real-Time (NRT) framework for LBL aided inertial navigation. The solution proposed herein implements an optimal Bayesian state estimator over the time-frame of each LBL transponding cycle. This Maximum-A-Posteriori (MAP) solution considers all navigation sensor information collected during each LBL cycle and is computed at the conclusion of the LBL cycle. The solution between LBL cycles is computed by standard extended Kalman filter (EKF) methods for all other measurements (e.g., Doppler velocity log (DVL), pressure or compass) that satisfy the EKF assumptions. The article includes simulation results to illustrate the performance of this Near-Real-Time approach.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125768841","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}
引用次数: 8
A riccati based homogeneous and self-dual interior-point method for linear economic model predictive control 基于riccati的线性经济模型预测控制齐次自对偶内点法
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662814
Leo Emil Sokoler, G. Frison, Kristian Edlund, Anders Skajaa, J. B. Jørgensen
{"title":"A riccati based homogeneous and self-dual interior-point method for linear economic model predictive control","authors":"Leo Emil Sokoler, G. Frison, Kristian Edlund, Anders Skajaa, J. B. Jørgensen","doi":"10.1109/CCA.2013.6662814","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662814","url":null,"abstract":"In this paper, we develop an efficient interior-point method (IPM) for the linear programs arising in economic model predictive control of linear systems. The novelty of our algorithm is that it combines a homogeneous and self-dual model, and a specialized Riccati iteration procedure. We test the algorithm in a conceptual study of power systems management. Simulations show that in comparison to state of the art software implementation of IPMs, our method is significantly faster and scales in a favourable way.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123477525","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}
引用次数: 10
Control of single-phase grid connected PV power plant for real as well as reactive power feeding 单相并网光伏电站实际及无功馈电控制
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662826
Shashank Agrawal, C. Sekhar, S. Mishra
{"title":"Control of single-phase grid connected PV power plant for real as well as reactive power feeding","authors":"Shashank Agrawal, C. Sekhar, S. Mishra","doi":"10.1109/CCA.2013.6662826","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662826","url":null,"abstract":"This paper presents a methodology for the control of active and reactive power feeding to the utility and the load through a single phase grid connected photovoltaic power plant. A two stage control strategy has been used to provide an effective and simplified control to extract maximum power from the PV array as well as to control the reactive power. This paper focuses on simplifying the control topology by using proportional resonant controller and reducing the number of control variables. The time domain simulation has been done to analyze the performance of the controller and justify the robustness at different operating conditions.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124995714","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}
引用次数: 7
Combustion engine air path: Fault-accommodation with sliding mode control framework 内燃机风道:滑模控制框架的容错
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662744
B. Ndoye, Sofiane Ahmed Ali, N. Langlois
{"title":"Combustion engine air path: Fault-accommodation with sliding mode control framework","authors":"B. Ndoye, Sofiane Ahmed Ali, N. Langlois","doi":"10.1109/CCA.2013.6662744","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662744","url":null,"abstract":"This paper investigates second order sliding mode control. The use of the super twisting algorithm for the combustion engine air path is to achieve fault-tolerance and to enhance the chattering phenomenon. Comparing to the adaptive sliding mode controller (ASMC), the obtained results showed good performances for actuator fault-accommodation even in the presence of uncertainties on model parameters.","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124180528","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}
引用次数: 2
Nonlinear estimation using risk sensitive formulation of cubature quadrature Kalman filter 基于风险敏感的培养正交卡尔曼滤波器的非线性估计
2013 IEEE International Conference on Control Applications (CCA) Pub Date : 2013-11-14 DOI: 10.1109/CCA.2013.6662805
Swati, S. Bhaumik
{"title":"Nonlinear estimation using risk sensitive formulation of cubature quadrature Kalman filter","authors":"Swati, S. Bhaumik","doi":"10.1109/CCA.2013.6662805","DOIUrl":"https://doi.org/10.1109/CCA.2013.6662805","url":null,"abstract":"This paper proposes a novel method to minimize the risk sensitive cost function based on cubature quadrature algorithm. The proposed filter is named as risk sensitive cubature quadrature Kalman filter (RSCQKF). The theory and formulation of the RSCQKF have been presented in this paper. The performance of proposed risk sensitive filter is compared with its risk neutral counterpart for a ballistic target tracking problem. The simulation results show that for wrongly modeled process noise parameters, the RSCQKF outperforms the cubature quadrature Kalman filter (CQKF).","PeriodicalId":379739,"journal":{"name":"2013 IEEE International Conference on Control Applications (CCA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130069115","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}
引用次数: 3
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