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2007 IEEE International Conference on Control Applications最新文献

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Active Disturbance Rejection Control of Chemical Processes 化学过程自抗扰控制
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389340
Zhongzhou Chen, Q. Zheng, Zhiqiang Gao
{"title":"Active Disturbance Rejection Control of Chemical Processes","authors":"Zhongzhou Chen, Q. Zheng, Zhiqiang Gao","doi":"10.1109/CCA.2007.4389340","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389340","url":null,"abstract":"In this paper a novel control strategy, the active disturbance rejection control (ADRC), is applied to the representative process control problems. In the ADRC framework, the disturbance and unmeasured dynamics associated with chemical processes are treated as an additional state variable, which is then estimated and compensated for in real time. This reduces a normally complex, time-varying, nonlinear, and uncertain dynamic process to an approximately linear, time-invariant, cascade-integral form, where a simple proportional-derivative (PD) controller suffices. Simulation studies are performed on two nonlinear continuous stirred tank reactors (CSTR), both demonstrate very good performance in the absence of an accurate mathematical model of the process.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115376250","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: 43
H2 Optimal Signal Predictive Quantization in Oversampled FBs 过采样FBs中H2最优信号预测量化
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389363
Shenpeng Li, Jingxin Zhang, Cisheng Zhang
{"title":"H2 Optimal Signal Predictive Quantization in Oversampled FBs","authors":"Shenpeng Li, Jingxin Zhang, Cisheng Zhang","doi":"10.1109/CCA.2007.4389363","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389363","url":null,"abstract":"This paper is concerned with the design of signal predictor in oversampled signal predictive subband coding. Spectral analysis of the prediction error system is used to derive an H2 optimization formulation of the design problem, and an LMI based method is obtained to design the H2 optimal signal predictor that minimizes the variance of quantizer input signals. Simulation examples are presented to demonstrate the obtained design method.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115594321","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
Spatial Trajectory Tracking Control of Omni-directional Wheeled Robot Using Optical Flow Sensors 基于光流传感器的全向轮式机器人空间轨迹跟踪控制
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389442
Jwusheng Hu, Jung-Hung Cheng, Yung-Jung Chang
{"title":"Spatial Trajectory Tracking Control of Omni-directional Wheeled Robot Using Optical Flow Sensors","authors":"Jwusheng Hu, Jung-Hung Cheng, Yung-Jung Chang","doi":"10.1109/CCA.2007.4389442","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389442","url":null,"abstract":"This study presents a method of controlling a mobile robot of omni-directional wheels. Two optical flow sensors are installed on the chassis of the robot to obtain motion information relative to the world coordinate. Due to wheel slip, the kinematic relation from the wheel speed to the robot speed no longer holds. An extremum seeking algorithm is proposed to cope with the unknown friction when the robot tries to follow a prescribed trajectory. Further, a spatial tracking algorithm is proposed to modify the velocity commands to achieve a better performance in trajectory following. Lastly, a simple obstacle avoidance algorithm is also proposed based on the optical flow sensor measurement. Experiments are conducted for various driving conditions including different road surfaces to show the effectiveness of the proposed methods.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115200622","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
Robust Step-up DC/AC conversion with a Full-Bridge Non-Inverting Buck-Boost 稳健升压DC/AC转换与全桥非反相降压升压
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389296
D. Biel, E. Fossas, J. M. Olm
{"title":"Robust Step-up DC/AC conversion with a Full-Bridge Non-Inverting Buck-Boost","authors":"D. Biel, E. Fossas, J. M. Olm","doi":"10.1109/CCA.2007.4389296","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389296","url":null,"abstract":"The substitution of the original switches by a full-bridge in a non-inverting buck-boost converter results in an inverter capable of performing step-down and step-up tasks under sliding mode control. Furthermore, semi-infinite programming techniques are used to minimize power loses while preventing control action saturation. The performance of the inverter is shown to be robust in front of load perturbations. The procedure assumes known bounds for the disturbances, as well as full state knowledge. Realistic simulations validate the proposed scheme.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127202375","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
Adaptive Optimization of Time-out Policy for Dynamic Power Management Based on SMCP 基于SMCP的动态电源管理超时策略自适应优化
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389250
Q. Jiang, H. Xi, B. Yin
{"title":"Adaptive Optimization of Time-out Policy for Dynamic Power Management Based on SMCP","authors":"Q. Jiang, H. Xi, B. Yin","doi":"10.1109/CCA.2007.4389250","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389250","url":null,"abstract":"Based on reinforcement learning, an adaptive online optimization algorithm of time-out policy is presented for dynamic power management. First the time-out policy driven power-managed systems are formulated as semi-Markov control processes. Under this analytic model, the equivalent effect on performance-power trade-off of time-out and stochastic policies is probed, and the equivalent relation between these two types policies is derived. Then an adaptive optimization algorithm that combines gradient estimation online and stochastic approximation is proposed. This algorithm doesn't depend on the prior knowledge of system parameters, and can achieve a global optimum with less computational cost. Simulation results demonstrate the analytic results and the effectiveness of the proposed algorithm.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125734050","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: 1
Control of Combined IPMC Actuator with 2 Variously Doped Films : Experimental Evaluation 两种不同掺杂薄膜组合IPMC致动器的控制:实验评价
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389464
H. Nakadoi, M. Yamakita, A. Sera, K. Asaka, Zhiwei Luo, Kazuhiko Ito
{"title":"Control of Combined IPMC Actuator with 2 Variously Doped Films : Experimental Evaluation","authors":"H. Nakadoi, M. Yamakita, A. Sera, K. Asaka, Zhiwei Luo, Kazuhiko Ito","doi":"10.1109/CCA.2007.4389464","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389464","url":null,"abstract":"Some types of polymer actuators have been focused. These actuators are sometimes called artificial muscle. IPMC - ionic polymer and metal composite is one of the notable actuator. The characteristics of IPMC actuation is highly dependent on the type of dopant ion. This phenomenon is called 'doping effect'. It is expected that performance of the actuation can be improved by combining multiple IPMC films which are doped different types of dopant ions and with suitable control. In this paper, we construct a model to explain the doping effect and propose a combined system of IPMC actuator with variously doped films, and model matching control based on Hinfin control theory.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115113420","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: 1
State-Predictive Control of an Autonomous Blimp in the Presence of Time Delay and Disturbance 存在时滞和扰动的自主飞艇状态预测控制
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389228
H. Fukushima, K. Kon, Y. Hada, F. Matsuno, K. Kawabata, H. Asama
{"title":"State-Predictive Control of an Autonomous Blimp in the Presence of Time Delay and Disturbance","authors":"H. Fukushima, K. Kon, Y. Hada, F. Matsuno, K. Kawabata, H. Asama","doi":"10.1109/CCA.2007.4389228","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389228","url":null,"abstract":"In this paper, state-predictive control is applied to an autonomous blimp in the presence of time delay and disturbance. To this end, a state predictor to compensate time delay is constructed based on the separate-bias filters taking into account nonzero-mean disturbances. Experimental results show that constraint violations are reduced in model predictive control (MPC) with input and state constraints by compensating time delay. Also, flight experiments in the presence of the winds show that the steady-state error to disturbances are reduced as a result that the state prediction performance is improved by using separate-bias predictor. Moreover, MPC using soft bounds is applied for recovering constraint violations due to disturbances.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126050369","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: 9
Fuzzy neural modeling via clustering and support vector machines 基于聚类和支持向量机的模糊神经建模
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389200
J. C. Tovar, Wen Yu
{"title":"Fuzzy neural modeling via clustering and support vector machines","authors":"J. C. Tovar, Wen Yu","doi":"10.1109/CCA.2007.4389200","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389200","url":null,"abstract":"This paper describes a novel fuzzy rule-based modeling approach for some industrial processes. Structure identification is realized by clustering and support vector machines. When the process is slow, fuzzy rules can be obtained automatically. Parameters identification uses the techniques of fuzzy neural networks. A time-varying learning rate assures stability of the modeling error.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124861689","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
Analysis and Experimental Validation of the Output Voltage and Input Current Performances in Three Phase PWM Boost Rectifiers Under Unbalanced and Distorted Supply Voltage Conditions 供电电压不平衡和畸变条件下三相PWM升压整流器输出电压和输入电流性能分析及实验验证
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389298
Xinhui Wu, S. K. Panda, Jian-xin Xu
{"title":"Analysis and Experimental Validation of the Output Voltage and Input Current Performances in Three Phase PWM Boost Rectifiers Under Unbalanced and Distorted Supply Voltage Conditions","authors":"Xinhui Wu, S. K. Panda, Jian-xin Xu","doi":"10.1109/CCA.2007.4389298","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389298","url":null,"abstract":"This paper analyzes the dc output voltage and line side currents of the three phase PWM boost rectifier under unbalanced and distorted supply voltage conditions. Based on the mathematical model of the three-phase PWM boost rectifier in the positive and negative synchronous rotating frames, a detailed analytical expression for the dc link voltage has been derived and presented. It shows the presence of even order harmonic components in the dc output voltage caused by the negative sequence component of the supply voltages. The effect of the distorted supply voltage on the line side currents has been investigated from the analytical point of view and discussed in this paper. A simple cascaded PI current control scheme in the positive and negative synchronous rotating reference frames has been designed to ensure that the dc link voltage is maintained constant and the supply side power factor is kept close to unity under the unbalanced and distorted supply voltage operating conditions. Experimental test results with the proposed controller are provided on a 1.6 kVA laboratory based PWM rectifier. Test results obtained confirm that the performance of the proposed control scheme enhances the performance of the PWM rectifier over the conventional single reference frame based controller.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123666784","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
Driver-Adaptive Assist System for Avoiding Abnormality in Driving 避免驾驶异常的驾驶员自适应辅助系统
2007 IEEE International Conference on Control Applications Pub Date : 2007-11-27 DOI: 10.1109/CCA.2007.4389406
Md Abdus Samad Kamal, T. Kawabe, J. Murata, M. Mukai
{"title":"Driver-Adaptive Assist System for Avoiding Abnormality in Driving","authors":"Md Abdus Samad Kamal, T. Kawabe, J. Murata, M. Mukai","doi":"10.1109/CCA.2007.4389406","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389406","url":null,"abstract":"Sometimes a driver deviates from his natural or normal driving style due to inadequate attention or faces abnormal situation caused by a number of psychological and physical factors. Such abnormalities often lead a driver to a mistake that may cause an accident. This paper presents a novel approach called driver-adaptive assist system to avoid such abnormalities in driving scenario as a preventive measure against occurrence of vehicle collisions, assuming that natural driving style of individual drivers is the safest style. Adaptive fuzzy system with statistics of recent fluctuations records are used to determine the driving behavior from noisy data. Another fuzzy reasoning section determines the level of abnormality in driving to notify or warn the driver so that he can pay back his full concentration in driving. Different simulated drivers with pseudo realistic styles in starting, stopping and car following are used to investigate performance of the proposed system. Empirical results show the ability of the system to recognize abnormality of drivers having different driving styles.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125017118","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
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