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2010 IEEE International Conference on Control Applications最新文献

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Multicar elevator group control: Average reward learning method for service completion time reduction and interference prevention 多车电梯群控:缩短服务完成时间和防止干扰的平均奖励学习方法
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611304
A. Valdivielso, T. Miyamoto
{"title":"Multicar elevator group control: Average reward learning method for service completion time reduction and interference prevention","authors":"A. Valdivielso, T. Miyamoto","doi":"10.1109/CCA.2010.5611304","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611304","url":null,"abstract":"As higher buildings are constructed, more efficient elevator systems are needed. In order to increase the transportation capacity within buildings, the addition of elevators has been a commonly used strategy. However, due to the space occupied by each elevator the number of them that can be added becomes limited. To solve this problem multicar elevator (MCE) systems, consisting of several elevator cars (cages) operating independently within the same shaft (vertical passageway), have been proposed. Nevertheless, due to the need to avoid interference between cars, conventional elevator group control methods cannot be applied in MCEs. Therefore, an MCE group control method capable of offering an optimal performance while efficiently preventing car interference is required. In our research we propose an average reward learning method in which car agents develop a call response policy that can reduce the service completion time and the occurrence of interference events. Simulation results show our method has good performance in the interfloor traffic pattern.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128357864","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 model predictive control of fed-batch cultures of micro-organisms exhibiting overflow metabolism 具有溢出代谢的微生物分批喂料培养物的非线性模型预测控制
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611190
Lino O. Santos, L. Dewasme, Anne-Lise Hantson, A. Wouwer
{"title":"Nonlinear model predictive control of fed-batch cultures of micro-organisms exhibiting overflow metabolism","authors":"Lino O. Santos, L. Dewasme, Anne-Lise Hantson, A. Wouwer","doi":"10.1109/CCA.2010.5611190","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611190","url":null,"abstract":"Overflow metabolism characterizes cells strains that are likely to produce inhibiting metabolites resulting from an excess of substrate feeding and a saturated respiratory capacity. The critical substrate level separating the two different metabolic pathways is generally not well defined. This occurs for instance in Escherichia coli cultures with aerobic acetate formation. This paper considers the control problem of a lab-scale E. coli biomass production. A preliminary study is presented to access the application of a multivariable nonlinear model predictive control approach to maximize the biomass production. This strategy is tested by simulation and its performance to control the bioreactor system is evaluated with various objective cost functions, and in the presence of noise and dead-time on the acetate concentration measurement.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"425 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129353158","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: 4
Output feedback predictive control of induction motors with rotor and stator resistances uncertainties 转子和定子电阻不确定的感应电机输出反馈预测控制
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611284
S. H. Saïd, Faouzi Mimouni, F. M'sahli, M. Farza
{"title":"Output feedback predictive control of induction motors with rotor and stator resistances uncertainties","authors":"S. H. Saïd, Faouzi Mimouni, F. M'sahli, M. Farza","doi":"10.1109/CCA.2010.5611284","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611284","url":null,"abstract":"An accurate estimation of both rotor and stator resistances is usually required to achieve high performance control in induction machine drive systems. In this study, an output feedback predictive controller which is adaptive with respect to these parameters uncertainties is proposed. Such design attempts to a fully decoupling in speed and flux magnitude regulation, as soon as an estimation scheme has converged to the true parameters values. Two-stage of high gain observer are used to provide on-line estimation of the rotor and stator resistances as well as the rotor fluxes and load torque. Then, the instantaneous estimates are exploited in a state feedback predictive control law to generate a bounded decision variable that perform the admissible tracking objective. Benefits of the proposed algorithm are mainly emphasized in two titles. First that, unlike other adaptive observers, our estimator is not computationally expensive. The second feature consists in the ability of the controller to handle input constraints which allows to isolate peaking phenomenon from the system states. Simulation results shows that the proposed controller is suitable for high dynamics performance applications.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129188728","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
Improved feedback error learning with prefilter state variables and RLS criterion 利用预滤波状态变量和RLS准则改进了反馈误差学习
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611303
Kenji Sugimoto, M. Noguchi
{"title":"Improved feedback error learning with prefilter state variables and RLS criterion","authors":"Kenji Sugimoto, M. Noguchi","doi":"10.1109/CCA.2010.5611303","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611303","url":null,"abstract":"This paper proposes an improved scheme for feedback error learning (FEL). In two-degree-of-freedom control systems in general, a prefilter is used to compensate the relative degree delay of a strictly proper plant. In conventional schemes of FEL, however, the feedforward controller has to learn parameter including the prefilter, although it is given in advance. The proposed scheme reduces this redundancy by means of the prefilter state variables as part of the feedforward signals. Furthermore, the learning law by Muramatsu et al. is generalized to the MIMO case under a recursive least square criterion.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123956542","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
A pixel-wise robust extended Kalman filter for restoration of geometrically warped anisoplanatic images 用于几何扭曲各向异性图像恢复的像素级鲁棒扩展卡尔曼滤波器
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611098
A. Kallapur, M. Tahtali, I. Petersen
{"title":"A pixel-wise robust extended Kalman filter for restoration of geometrically warped anisoplanatic images","authors":"A. Kallapur, M. Tahtali, I. Petersen","doi":"10.1109/CCA.2010.5611098","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611098","url":null,"abstract":"This paper presents the application of a robust extended Kalman filter (REKF) for an image processing problem in order to mitigate the effects of noise introduced during registration of geometrically warped anisoplanatic images. Emphasis is laid upon maintaining accuracy at the pixel-level. The perceived wander (random motion) of image intensities at the pixel level is modeled as a second-order oscillator, with a time-varying uncertain natural frequency. A robust extended Kalman filter (REKF) is used to estimate the state of the uncertain system and restore the pixel wander from a set of synthetically generated noisy measurements of registration shiftmaps. Also, a comparison of REKF and standard EKF estimation methods is presented.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123405381","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: 4
A comparative study of adaptive control approaches for MEMS gyroscope MEMS陀螺仪自适应控制方法的比较研究
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611258
J. Fei, Mingang Hua, Yuncan Xue
{"title":"A comparative study of adaptive control approaches for MEMS gyroscope","authors":"J. Fei, Mingang Hua, Yuncan Xue","doi":"10.1109/CCA.2010.5611258","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611258","url":null,"abstract":"This paper presents a comparative study of adaptive control approaches for Micro-Electro-Mechanical Systems (MEMS) z-axis gyroscope, adaptive controller and adaptive sliding mode controller are proposed respectively and compared in the simulation. The proposed adaptive control approaches can estimate the angular velocity and the damping and stiffness coefficients including the coupling terms due to the fabrication imperfection. The stability of the closed-loop systems are established with the proposed adaptive control strategies. Numerical simulations are investigated to verify the effectiveness of the proposed control schemes. It is shown that adaptive sliding mode control has better robustness in the presence of model uncertainties and external disturbance than adaptive control.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123530880","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: 5
Controller design for quadrotor UAVs using reinforcement learning 基于强化学习的四旋翼无人机控制器设计
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611206
Haitham Bou-Ammar, H. Voos, W. Ertel
{"title":"Controller design for quadrotor UAVs using reinforcement learning","authors":"Haitham Bou-Ammar, H. Voos, W. Ertel","doi":"10.1109/CCA.2010.5611206","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611206","url":null,"abstract":"Quadrotor UAVs are one of the most preferred type of small unmanned aerial vehicles because of the very simple mechanical construction and propulsion principle. However, the nonlinear dynamic behavior requires a rather advanced stabilizing control of these vehicles. One possible approach that relaxes the difficult task of nonlinear control design is the application of a learning algorithm that allows the training of suitable control actions. Here we apply reinforcement learning as one form of unsupervised learning. In this paper, we first propose a nonlinear autopilot for quadrotor UAVs based on feedback linearization. This controller is then compared to an autopilot which has been learned by reinforcement learning using fitted value iteration with regard to design effort and performance. First simulation and experimental results underline the outcome of this comparison.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114338635","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: 92
Broken bar fault detection in induction motors based on modified winding Function 基于修正绕组函数的异步电动机断条故障检测
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611213
F. Karami, J. Poshtan, M. Poshtan
{"title":"Broken bar fault detection in induction motors based on modified winding Function","authors":"F. Karami, J. Poshtan, M. Poshtan","doi":"10.1109/CCA.2010.5611213","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611213","url":null,"abstract":"In this paper, a new turn function for skewed rotor bars based on winding Function approach is presented. This approach has been used for simulating the machine behavior under healthy and broken rotor conditions. Proposed method is applied for rotor bars fault detection based on an advanced Park's vectors approach.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126249538","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: 6
MPC with one free control action for constrained LPV systems 约束LPV系统的单自由度MPC
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611145
Shuyou Yu, C. Böhm, Hong Chen, F. Allgöwer
{"title":"MPC with one free control action for constrained LPV systems","authors":"Shuyou Yu, C. Böhm, Hong Chen, F. Allgöwer","doi":"10.1109/CCA.2010.5611145","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611145","url":null,"abstract":"Based on the assumption that the parameter can be measured in real time, we propose a model predictive control (MPC) method for linear-parameter varying (LPV) systems subject to possibly asymmetric constraints which adopts the analogous framework of terminal control law, terminal set and terminal penalty of nonlinear model predictive control. The optimization problem is formulated as a convex optimization problem and, recursive feasibility and closed-loop stability are guaranteed by its feasibility at initial time. For LPV systems with symmetric constraints, we reformulate the convex optimization problem as a semi-definite program. Numerical examples demonstrate the properties of the proposed MPC design.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126285232","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
Online neuroadaptive control of a rotary crane system 旋转起重机系统的在线神经自适应控制
2010 IEEE International Conference on Control Applications Pub Date : 2010-10-28 DOI: 10.1109/CCA.2010.5611074
Sam Chau Duong, H. Kinjo, E. Uezato, Tetsuhiko Yamamoto
{"title":"Online neuroadaptive control of a rotary crane system","authors":"Sam Chau Duong, H. Kinjo, E. Uezato, Tetsuhiko Yamamoto","doi":"10.1109/CCA.2010.5611074","DOIUrl":"https://doi.org/10.1109/CCA.2010.5611074","url":null,"abstract":"This paper is concerned with the control of a rotary crane system which is perturbed by a strong and sudden disturbance. Since the payload of the crane system is affected strongly by inertia, it is hardly stabilized quickly, particularly when there exists disturbance. An adaptive adjustment of the controller against the disturbance is thus needed to maintain the desired performance. The problem becomes more challenging when using evolutionary algorithms based techniques as they are usually computationally demanding. In this study, an online control method using neural network (NN) and genetic algorithm (GA) is proposed where a state is predicted and then used as a new initial condition for GA to perform re-designing the controller. Simulations show that the method works effectively to regulate the perturbed system to the desired state.","PeriodicalId":284271,"journal":{"name":"2010 IEEE International Conference on Control Applications","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126291221","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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