{"title":"Study of harmonic elimination technology for multi-level inverters","authors":"Song Li, M. Ye","doi":"10.1109/EMEIT.2011.6023599","DOIUrl":"https://doi.org/10.1109/EMEIT.2011.6023599","url":null,"abstract":"Multi-level converters as a novel kind of converters used in high voltage and high power application field, can generate near sinusoidal voltages with only fundamental frequency switching; and have almost no electromagnetic interference or common-mode voltage. This paper introduces an multi-level inverter SHEPWM technique based on Walsh transform, and analyzes the models of multi-level inverter PWM output waveforms. Using the Walsh function waveform analytic technique, the multi-level inverter's switching angles are optimized by solving linear algebraic equations instead of solving nonlinear transcendental equations. By searching all feasible initial conditions, the solutions are the piecewise linear equations with the fundamental amplitude. The problem of on-line solving the multi-level inverter's switching angles is resolved by the piecewise linear equations. Finally, The simulation and experimental results verify the precise, practicality and feasibility of multi-level inverter based on Walsh functions.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"37 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134634604","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":"Qualitative performance analysis of blind source extraction","authors":"W. Y. Leong","doi":"10.1109/ICIEA.2008.4582532","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582532","url":null,"abstract":"In blind source separation, several techniques have been proposed to illustrate the qualitative performance of separation algorithms. However, in general, we assume ideal condition, no noise and linear mixing model. In this paper, a number of important performance analyses are discussed. It is shown that estimation of the mixing/demixing matrix should not be the main goal, in the noisy and nonlinear case. Instead, it is proposed to compare outcome of ICA algorithms with different proposed performance techniques, derived for known mixing model and extended to real- world data. In this work, the delay variance vector is suggested as the meaningful performance criterion. A simulation study that compare a few well known ICA algorithms and performance techniques applied to noise data are included. Blind source separation, blind source extraction, performance analysis, noisy mixtures","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500337","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 performance of transform domain adaptive filters with Markov-2 inputs","authors":"Zhao Sheng-kui, M. Zhihong, Khoo Suiyang","doi":"10.1109/ICIEA.2008.4582663","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582663","url":null,"abstract":"In this paper, the analysis for the performance of the discrete Fourier transform LMS adaptive filter (DFT-LMS) and the discrete cosine transform LMS adaptive filter (DCT-LMS) for the Markov-2 inputs is presented. To improve the convergence property of the least mean squares (LMS) adaptive filter, the DFT-LMS and DCT-LMS preprocess the inputs with the fixed orthogonal transforms and power normalization. We derive the asymptotic results for the eigenvalues and eigenvalue distributions of the preprocessed input autocorrelation matrices with DFT-LMS and DCT-LMS for Markov-2 inputs. These results explicitly show the superior decorrelation property of DCT-LMS over that of DFT-LMS, and also provide the upper bounds for the eigenvalue spreads of the finite-length DFT-LMS and DCT-LMS adaptive filters. Simulation results are demonstrated to support the analytic results.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114524379","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":"Two new bag generators with multi-instance learning for image retrieval","authors":"Wei Liu, Weidong Xu, Lihua Li, Guoliang Li","doi":"10.1109/ICIEA.2008.4582518","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582518","url":null,"abstract":"Multi-instance learning(MIL) is a new framework for learning from ambiguity, which is feasible for query-by-example(QBE) paradigm in content-based image retrieval(CBIR), since the query image posed by the user is often ambiguous and difficult to be perceived. Image bag generator, which can transform images into image bags, plays an important role in applying MIL for CBIR according to some researchers' works. In this paper, two new image bag generators named JSEG-bag and Attention-bag were proposed, respectively. JSEG-bag is based on the JSEG image segmentation algorithm and the Attention-bag is based on a saliency-based bottom-up visual attention computational model motivated by visual physiological experimental results. Preliminary experiments showed that the proposed image bag generators can achieve comparable results to some existing bag generators but are more efficient in indexing images.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126116054","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 street reference model of MIMO vehicle-to-vehicle fading channel","authors":"Chen Wei, He Zhiyi, Y. Tian-ren","doi":"10.1109/ICIEA.2008.4582523","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582523","url":null,"abstract":"In future, cars will form a network with other cars and roadside data systems to exchange information that alerts the driver on traffic congestion, road conditions, and accidents. It is expected that vehicle-to-vehicle communication systems will play an important role in intelligent transportation systems. MIMO systems employ multiple transmit and multiple receive antennas, combined with the opportunities opened by large vehicle surfaces on which multielement antennas can be placed, makes MIMO techniques very attractive for vehicle-to-vehicle communications. In this paper, we propose an original street model for MIMO vehicle-to-vehicle fading channels, derived from this model, the analysis of statistical properties of transmit and the receive correlation functions is given, and some numerical results for the special case of isotropic scattering are presented. Our procedure provides also an important framework for studying the channel capacity of MIMO vehicle-to-vehicle channels, channel coding and wireless intelligent transportation systems planning.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123093504","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":"New decoder for triple-error-correcting binary BCH codes","authors":"Xie Zhi-yuan, Li Na, L. Le-le","doi":"10.1109/ICIEA.2008.4582754","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582754","url":null,"abstract":"A step-by-step decoding algorithm is introduced for triple-error correcting binary BCH codes of length n = 2<sup>m</sup> -1. The error bit can be directly determined by this algorithm, and the computation is simple and regular. Based on the analysis of the decoding algorithm, the hardware decoder is improved in continuous decoding condition. Furthermore, a new method for the key point of this algorithm, the look-up table of (x<sub>1</sub> <sup>'</sup>)<sup>5</sup> + (x<sub>2</sub> <sup>'</sup>)<sup>5</sup>, is presented to simplify the difficult hardware decoder.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117157196","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":"Torque ripple control of position-sensorless brushless DC motor based on neural network identification","authors":"Jianbo Cao, Bing-gang Cao, Peng Xu, Shiqiong Zhou, Guifang Guo, Xiaolan Wu","doi":"10.1109/ICIEA.2008.4582616","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582616","url":null,"abstract":"In order to reduce the torque ripple of position-sensorless brushless DC motor (BLDCM), Based on analyzing the commutation process, a novel control system employing back-EMF method was designed, which disconnected the reference point of detection circuit from battery cathode and did the phase-shifting compensation of back-EMF. Moreover, through regulating the terminal voltage of motor, the system made the rising ratio and dropping ratio of the phase currents be approximate so as to keep the amplitude of the total current in the constant. To further suppress the torque ripple, neural network (NN) control algorithm was researched and applied to the system. The controller comprises a back propagation (BP) NN and a radial basis function (RBF) NN. The former is used to adaptively adjust the parameters of the PID controller on-line. The later is used to establish nonlinear prediction model and perform parameter prediction. The experimental results show that the proposed method in this paper could ensure prominent reduction of torque ripple, have good robustness, and achieve position-sensorless commutation control of BLDCM successfully.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117268792","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 hybrid iterative localization algorithm in wireless sensor networks","authors":"Zude Zhou, P. Hu, Quan Liu, P. Lou","doi":"10.1109/ICIEA.2008.4582949","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582949","url":null,"abstract":"Localization is one of the imperative issues in wireless sensor networks. The classical range-free and range-based localization algorithms have respective pros and cons, which cannot gracefully meet the practical requirements, such as the heterogeneity of network and irregular distribution. Thus, the high-accuracy localization algorithm HILS (hybrid iterative least square) is proposed in this paper, utilizing nodes with and without calibration capability. The \"hybrid\" characteristic of HILS holds in two aspects: being able to take advantage of both the range-based information and range-free information, e.g. connectivity and shortest path, and to calculate the initial coarse locations using a certain lightweight algorithm (e.g. DV-Hop) to utilize the error-controllable localization algorithm in heterogeneous networks. Simulation results show that compared with classical range-free algorithm, the proposed algorithm can mitigate the local minima problem in the general iterative algorithms. Although its time consumption is related to the parameter of desired accuracy, it can be reduced by exchanging little amount of information between nodes to rank the order to localize, and by using the optional initial estimation with a certain lightweight range-free algorithm. Experimental analysis represents that HILS is a practical, stable and effective localization algorithm.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121039653","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":"Current sensorless synchronous reluctance motor speed drive with the novel fuzzy sliding mode control","authors":"Chien-An Chen, H. Chiang, B. Lin","doi":"10.1109/ICIEA.2008.4582556","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582556","url":null,"abstract":"This paper presents a novel fuzzy sliding mode speed control design procedure for robust stabilization and disturbance rejection of the current sensorless synchronous reluctance motor (SynRM) drive system. The novel fuzzy sliding mode control reduces the high frequency chattering and high gain phenomenon drawbacks of conventional sliding mode control which use the sign function and assumed a larger upper boundary gain to overcome the parameter variations and disturbances of SynRM. This method utilizes Lyapunov function candidate to guarantee the convergence and track the speed command of the SynRM system asymptotically. The estimator of parameter variations and external disturbances is designed to estimate the unknown uncertainty values in real-time. This is different from conventional fuzzy sliding mode control to estimate the unknown uncertainty upper boundary. This control scheme doesn't current sensor and the estimation currents are used in current inner loop. Finally, we employ the experimental results to validate the proposed method.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121242106","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 novel high-efficiency inverter for stand-alone and grid-connected systems","authors":"Rou-Yong Duan, Chao Chang","doi":"10.1109/ICIEA.2008.4582577","DOIUrl":"https://doi.org/10.1109/ICIEA.2008.4582577","url":null,"abstract":"This study presents a newly designed inverter circuit for photovoltaic (PV) power generation systems. A controllable current source supplies the filter capacitors and loads with high frequency switching to integrate the output sine wave voltage. Since the resonant inductor and the filter capacitor are connected in parallel, the series diodes of the full-bridge switches can be omitted. Furthermore, a coupled-inductor with a low volume is utilized to reduce the circulating energy and clamped the voltage stress of the devices, regardless of whether operation is in continuous conduction mode. The experimental waveforms are provided to demonstrate the soft-switching properties of all the devices. Additionally, a normal rated power with 110 V -1 kW - 60 Hz, which can be operated at stand-alone and grid-connected modes, is provided to show the effectiveness of the output voltage with low distortion, fast dynamic regulating speed and insensitivity to load variation, even under nonlinear loads. Experimental results that the maximum power inverter efficiency exceeds 97%, and the total harmonic distortion for various load conditions falls within 2%.","PeriodicalId":309894,"journal":{"name":"2008 3rd IEEE Conference on Industrial Electronics and Applications","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123274516","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}