{"title":"Active Oscillation Damping of the Fire-Rescue Turntable Ladder","authors":"A. Kharitonov, N. Zimmert, O. Sawodny","doi":"10.1109/CCA.2007.4389262","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389262","url":null,"abstract":"This paper deals with the active oscillation damping of the fire-rescue turntable ladder with a payload at the vertical plane. Because of the large length (25-50 m) the mathematical model of the ladder corresponds to a distributed parameter system. The payload at the end of the ladder is modeled by a concentrated end mass (lumped parameter system). The concept of the Euler-Bernoulli beam with the special boundary conditions describing the dynamics of the concentrated mass are proposed for the mathematical model of this hybrid system. The eigenfunctions of the corresponding boundary value problem were obtained analytically. Based on the analytical form of the eigenfunctions the modal description of the plant was constructed. For active oscillation damping by feedback without a dynamical observer the ladder was equipped additionally to strain gauges with a gyroscope. The designed feedback with the sensor signals allows to damp the fundamental oscillation as well as the first dominant overtone and asymptotically stabilize the plant with respect to its equilibrium. Some numerical simulations are included and demonstrate the efficiency of the proposed approach.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"23 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":"133722770","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":"Global Control of Multi-Machine Power Systems for Transient Stability Enhancement","authors":"Guohua Zhang, Youyi Wang, D. Hill","doi":"10.1109/CCA.2007.4389353","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389353","url":null,"abstract":"This paper presents a global control strategy for multi-machine power systems to enhance transient stability. The global control system models are proposed to represent the power systems with abrupt structure changes. Multi-machine power systems are first represented by interconnected subsystems with uncertainties and nonlinearities. Then each subsystem is decomposed into four nonlinear partial systems according to switching actions of breakers under a severe disturbance. The partial feedback controllers are respectively designed for partial models and the decentralized controllers for each subsystem are obtained through membership functions. Finally, the global controller is the summation of all the control actions from every subsystem. A three-machine power system is used as an example to demonstrate the effectiveness of the proposed global control strategy for multi-machine power systems.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"2 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":"134427304","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}
M. Mukai, T. Kawabe, H. Nishira, Yoshitaka Takagi, Y. Deguchi
{"title":"On Vehicle Path Generation Method for Collision Avoidance using Mixed Integer Programming","authors":"M. Mukai, T. Kawabe, H. Nishira, Yoshitaka Takagi, Y. Deguchi","doi":"10.1109/CCA.2007.4389427","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389427","url":null,"abstract":"This paper considers an optimal path generation problem that generates a path without a collision between an automobile and obstacles.The problem is formulated as mixed integer programming. In the problem the obstacles and environments around the automobile can be represent as inequality conditions. The dynamics of the obstacle is described as variation of a prohibited region. According to model predictive control we solve the optimal path generation problem a each time step then apply the first element of the optimal input. The method proposed in this paper can deal an explicit representation of the dynamics of the obstacle and provides no collision between the automobile and the obstacle.","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":"130305798","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":"Load Positioning for Subsea Installation via Approximation Based Adaptive Control","authors":"B. How, S. Ge, Y. Choo","doi":"10.1109/CCA.2007.4389318","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389318","url":null,"abstract":"In this paper, positioning control is investigated for the installation of subsea hardware with thrusters attached under time-varying ocean current. Adaptive neural approximation techniques are employed in the design of the control law and the stability is demonstrated by means of a backstepping and Lyapunov synthesis approach. Semiglobal uniform boundedness of the closed loop signals is guaranteed. The proposed control law is able to generate the control action required for accurate positioning without exact information on the hydrodynamic coefficients of the structure and current measurements. The performance of the proposed controller is evaluated via numerical simulations. From comparative simulations, the proposed technique is found to be effective, robust and produced an improved tracking performance.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"14 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":"115364199","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":"Adaptive Neural-net Control System for Ship Roll Stabilization","authors":"Xuejing Yang, Xiren Zhao, Xiuyan Peng","doi":"10.1109/CCA.2007.4389320","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389320","url":null,"abstract":"In this paper, an adaptive neural-net control system, in which learning is performed in a loop totally independent from the control loop, is proposed for the problem of ship roll stabilization. The modeling of the ship and the controller are adjusted continuously in order to deal with changes of dynamic properties caused by disturbances. Based the experimental data in tank, disturbance model caused by sea wave is presented. A recurrent neural network is used to approaching the dynamics of the ship, and the real time recurrent learning algorithm is described to train the forward model. This paper proposes the adaptation process of control system and applies it to the ship HD702. The control effect of roll stabilization and the approaching accuracy of forward model network are investigated.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"65 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":"115655200","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":"Fault Diagnosis on Hermetic Compressors Based on Sound Measurements","authors":"S. Toprak, A. Iftar","doi":"10.1109/CCA.2007.4389328","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389328","url":null,"abstract":"A fault identification study is made to identify five common faults in hermetic compressors manufactured in a large plant. Sound power level is used as raw data. Sound measurements were made in a room where microphones were located at different places of a virtual hemi-sphere, designed according to international standards. Obtained data is analyzed using the artificial neural networks method, where the multilayer perceptron model is used. Two different analysis approaches are carried out. In the first approach, only the summary data that emanated from the information coming from all microphones are used. In the second approach, all data coming from all microphones are used. The results indicate that the first approach is partially successful and the second is successful.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"41 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":"115300304","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":"Neural Approach for Induction Motor Load Torque Identification in Industrial Applications","authors":"A. Goedtel, I. Silva, P. Serni","doi":"10.1109/CCA.2007.4389277","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389277","url":null,"abstract":"Induction motors are widely used in several industrial sectors. However, the dimensioning of induction motors is often inaccurate because, in most cases, the load behavior in the shaft is completely unknown. The proposal of this paper is to use artificial neural networks as a tool for dimensioning induction motors rather than conventional methods, which use classical identification techniques and mechanical load modeling. Since the proposed approach uses current, voltage and speed values as the only input parameters, one of its potentialities is related to the facility of hardware implementation for industrial environments and field applications. Simulation results are also presented to validate the proposed approach.","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":"123474747","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":"Reliable Decentralized Stabilization via Dilated LMIs and Unknown Disturbance Observers","authors":"Y. Fujisaki, G. Befekadu","doi":"10.1109/CCA.2007.4389463","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389463","url":null,"abstract":"Reliable decentralized stabilization is considered for general multi-channel plants, where the objective is to maintain stability of the closed-loop system when all of decentralized controllers work together and when one of the controllers is extracted due to a failure. A dilated LMI technique is employed for deriving reliable state feedback design, while a version of unknown disturbance observer is used as a decentralized observer for extending the design to output feedback case. Advantages and usefulness of the proposed method are demonstrated through an application to a power system.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"61 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":"123930070","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":"Bounded formation control of multiple agents with limited sensing","authors":"K. D. Do","doi":"10.1109/CCA.2007.4389293","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389293","url":null,"abstract":"We present a constructive method to design bounded cooperative controllers that force a group of N mobile agents with limited sensing ranges to stabilize at a desired location, and guarantee no collisions between the agents. The control development is based on new general potential functions, which attain the minimum value when the desired formation is achieved, and are equal to infinity when a collision between any agents occurs. Smooth and p times differential jump functions are introduced and embedded into the potential functions to deal with the agent limited sensing ranges.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"106 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":"124306192","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 Derivative Estimation Toolbox based on Algebraic Methods - Theory and Practice","authors":"J. Zehetner, J. Reger, M. Horn","doi":"10.1109/CCA.2007.4389252","DOIUrl":"https://doi.org/10.1109/CCA.2007.4389252","url":null,"abstract":"In this paper, the implementation and usage of a so-called Derivative Estimation Toolbox is demonstrated. By means of this toolbox, time derivatives of sampled, noisy time signals may be determined in realtime, all based on a recently presented algebraic derivative estimation method. The main contribution is a possible implementation on a prototyping control unit. The performance of the Derivative Estimation Toolbox is experimentally validated on a brake-testbench. In particular, the friction force and the drive torque are estimated in realtime.","PeriodicalId":176828,"journal":{"name":"2007 IEEE International Conference on Control Applications","volume":"73 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":"126391129","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}