Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830638
Duren Liu, Yajing Jin, Z. Ren
In view of the situation that in modern vehicles there are more and more signals which need to be controlled, this paper presents an optimization design scheme and implementation method for automobile signal control. The main circuits are implemented using in-system programming technique and in-system programmable devices of Lattice Semiconductor Company. This method hits certain realistic significance for increasing vehicles' modernization level, enhancing vehicle control reliability and reducing production costs.
{"title":"Optimization design of signal control system for automobile","authors":"Duren Liu, Yajing Jin, Z. Ren","doi":"10.1109/IVEC.1999.830638","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830638","url":null,"abstract":"In view of the situation that in modern vehicles there are more and more signals which need to be controlled, this paper presents an optimization design scheme and implementation method for automobile signal control. The main circuits are implemented using in-system programming technique and in-system programmable devices of Lattice Semiconductor Company. This method hits certain realistic significance for increasing vehicles' modernization level, enhancing vehicle control reliability and reducing production costs.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134067072","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830648
Yuan-chun Li, Wei Gao, Xiaoping Zhou
In this paper, the control problem of the electromagnetic actuator in an electronically controlled diesel fuel injection system is studied. From the analyses of theory and experiments, it can be seen that the electromagnetic actuator has obvious nonlinear and time-variability and it is affected by temperature greatly. So, a method of bang-bang+adaptive fuzzy combined control, in which bang-bang control is adopted on the condition that the deviation is relatively big, is represented. Experiments show that this control method can obtain quite a good control effect.
{"title":"The adaptive fuzzy control of electromagnetic actuator in diesel fuel injection system","authors":"Yuan-chun Li, Wei Gao, Xiaoping Zhou","doi":"10.1109/IVEC.1999.830648","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830648","url":null,"abstract":"In this paper, the control problem of the electromagnetic actuator in an electronically controlled diesel fuel injection system is studied. From the analyses of theory and experiments, it can be seen that the electromagnetic actuator has obvious nonlinear and time-variability and it is affected by temperature greatly. So, a method of bang-bang+adaptive fuzzy combined control, in which bang-bang control is adopted on the condition that the deviation is relatively big, is represented. Experiments show that this control method can obtain quite a good control effect.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"573 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116065408","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830673
Y. Cong, Shuxun Wang, Jiyin Zhao, He Bin
The detection of non-Gaussian signal in additive Gaussian noise using bispectrum is a matter of practical interest in many areas, such as throttle failure detection and so on. An ARMA model of a nonload gasoline engine which works on little throttle valve opening is given. The detection approach of engine speed sensor and throttle sensor failure based on the model is elaborated which is employed by the electric control system in the period of shifting. When there is no failure, the residual between the series of ARMA model of throttle (nonload engine) and the measuring data series of engine speeding and throttle should be Gaussian, the mean of it is zero, otherwise it should be non-Gaussian. Then we can use the bispectrum to detect the failure of the engine speed sensor and throttle sensor.
{"title":"The study of the method about detection on throttle failure using the bispectrum","authors":"Y. Cong, Shuxun Wang, Jiyin Zhao, He Bin","doi":"10.1109/IVEC.1999.830673","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830673","url":null,"abstract":"The detection of non-Gaussian signal in additive Gaussian noise using bispectrum is a matter of practical interest in many areas, such as throttle failure detection and so on. An ARMA model of a nonload gasoline engine which works on little throttle valve opening is given. The detection approach of engine speed sensor and throttle sensor failure based on the model is elaborated which is employed by the electric control system in the period of shifting. When there is no failure, the residual between the series of ARMA model of throttle (nonload engine) and the measuring data series of engine speeding and throttle should be Gaussian, the mean of it is zero, otherwise it should be non-Gaussian. Then we can use the bispectrum to detect the failure of the engine speed sensor and throttle sensor.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116781075","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830703
Jian-Bo Yang, Li-Chong Zhang, Guo-Guang Wang
The paper puts forward the numerical sound system for driving simulation. The system is controlled by TMS320C25, so the system is very simple, has high performance price ratio and development function. The sound system is the auxiliary equipment of the simulator, its performance directly influences the simulation effect, therefore, we developed the numerical sound system for a CA141 truck simulator.
{"title":"The numerical sound system for driving simulation","authors":"Jian-Bo Yang, Li-Chong Zhang, Guo-Guang Wang","doi":"10.1109/IVEC.1999.830703","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830703","url":null,"abstract":"The paper puts forward the numerical sound system for driving simulation. The system is controlled by TMS320C25, so the system is very simple, has high performance price ratio and development function. The sound system is the auxiliary equipment of the simulator, its performance directly influences the simulation effect, therefore, we developed the numerical sound system for a CA141 truck simulator.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125761831","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830669
Z. Yu, Zhang Zhipei
In this paper, two visual measures-the dyadic wavelet chart and Poincare image-are applied to the fault identification for a series of time domain data obtained from a four-cylinder vehicle diesel engine block in the condition of first compressing ring gumming. The results show that the measures have the capacity of identifying faults successfully.
{"title":"The identification based on the two visual measures for ring gumming fault in vehicle diesel engine","authors":"Z. Yu, Zhang Zhipei","doi":"10.1109/IVEC.1999.830669","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830669","url":null,"abstract":"In this paper, two visual measures-the dyadic wavelet chart and Poincare image-are applied to the fault identification for a series of time domain data obtained from a four-cylinder vehicle diesel engine block in the condition of first compressing ring gumming. The results show that the measures have the capacity of identifying faults successfully.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124769602","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830705
Chen Lifan, Du Yu, W. Hongyan, Zhang Yi, Zhou Jing
This paper discusses the mechanism of CBR (case-based reasoning), placing emphasis on its application in car concept design. The concept and method of the acquirement of dynamic case-based knowledge are put forward. This paper tries to induce CBR into car concept design and established the case-based reasoning expert system for concept design of economical Car (ESCDEC). To date, this attempt is yielding satisfactory results.
{"title":"Case-based reasoning expert system for concept design of economical car","authors":"Chen Lifan, Du Yu, W. Hongyan, Zhang Yi, Zhou Jing","doi":"10.1109/IVEC.1999.830705","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830705","url":null,"abstract":"This paper discusses the mechanism of CBR (case-based reasoning), placing emphasis on its application in car concept design. The concept and method of the acquirement of dynamic case-based knowledge are put forward. This paper tries to induce CBR into car concept design and established the case-based reasoning expert system for concept design of economical Car (ESCDEC). To date, this attempt is yielding satisfactory results.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127159403","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830659
Qian Zhihong, Zhao Xiaoming, Dai Yi-song
The objective of this study is to derive the noise models of automotive electronic systems. The design and calculation requires a noise parameter estimate of an integrated operational amplifier and even a multistage integrated operational amplifier. It is shown that the equivalent input noise voltage (E/sub n/) and equivalent input noise current (I/sub n/) are the reasonable expression for the noise characteristics of a multistage amplifier. This paper presents algorithms of the E/sub n/-I/sub n/ noise model for integrated operational amplifiers of automotive electronic systems. This noise equivalent circuit model is derived by the noise correlation matrix, which represents the feedback network of an automotive electronic system. By conventional method for noise analysis of an electronic network, the output noise power is calculated with the sum of individual noises, and then the parameter is translated into the equivalent input noise voltage and input noise current. The novel approaches are based on the integer of all the noise sources and the noise relativity, so that the accuracy and efficiency are greatly improved and the algorithms are guaranteed to be more canonical. The algorithms may yield a better design of the low noise network of an automotive electronic system. A practical implementation for the extraction of the noise figure of a network is described in this paper. Simulated and calculated results of performance parameters of a network are presented. Thus, one may apply spectral parametric modeling to this power spectral density (PSD) for the estimation of noise figure and for the design of low noise automotive electronic systems.
本研究的目的是推导汽车电子系统的噪声模型。设计和计算需要对集成运算放大器甚至多级集成运算放大器的噪声参数进行估计。结果表明，等效输入噪声电压(E/sub n/)和等效输入噪声电流(I/sub n/)是多级放大器噪声特性的合理表达式。提出了汽车电子系统集成运放的E/sub - n/ i /sub - n/噪声模型的算法。用噪声相关矩阵来表示汽车电子系统的反馈网络，推导出噪声等效电路模型。传统的电子网络噪声分析方法是用各噪声之和计算输出噪声功率，然后将该参数转化为等效输入噪声电压和输入噪声电流。该方法基于所有噪声源的整数和噪声相关性，大大提高了算法的精度和效率，保证了算法的规范性。这些算法可以更好地设计汽车电子系统的低噪声网络。本文介绍了一种提取网络噪声系数的实际实现方法。给出了网络性能参数的仿真计算结果。因此，可以将功率谱密度(PSD)应用于噪声系数的估计和低噪声汽车电子系统的设计。
{"title":"E/sub n/-I/sub n/ models study of automotive IC modules","authors":"Qian Zhihong, Zhao Xiaoming, Dai Yi-song","doi":"10.1109/IVEC.1999.830659","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830659","url":null,"abstract":"The objective of this study is to derive the noise models of automotive electronic systems. The design and calculation requires a noise parameter estimate of an integrated operational amplifier and even a multistage integrated operational amplifier. It is shown that the equivalent input noise voltage (E/sub n/) and equivalent input noise current (I/sub n/) are the reasonable expression for the noise characteristics of a multistage amplifier. This paper presents algorithms of the E/sub n/-I/sub n/ noise model for integrated operational amplifiers of automotive electronic systems. This noise equivalent circuit model is derived by the noise correlation matrix, which represents the feedback network of an automotive electronic system. By conventional method for noise analysis of an electronic network, the output noise power is calculated with the sum of individual noises, and then the parameter is translated into the equivalent input noise voltage and input noise current. The novel approaches are based on the integer of all the noise sources and the noise relativity, so that the accuracy and efficiency are greatly improved and the algorithms are guaranteed to be more canonical. The algorithms may yield a better design of the low noise network of an automotive electronic system. A practical implementation for the extraction of the noise figure of a network is described in this paper. Simulated and calculated results of performance parameters of a network are presented. Thus, one may apply spectral parametric modeling to this power spectral density (PSD) for the estimation of noise figure and for the design of low noise automotive electronic systems.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127800144","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830686
Li Fangqin, Li Feng
The unmanned automobile has become a major research project in the automobile industry. The automobile will meet obstacles unavoidably on the road, so it is necessary to design a feasible controller for avoiding obstacles. Because of the complexity of the automatic obstacle avoiding system itself and of the uncertainty of the parameters, the original method of designing a controller by establishing models is limited. Driver experience provides a good control example for designing controllers and one can make use of this experience to design a controller for avoiding obstacles, which simulates the driving behaviors of humans. At present, fuzzy control technology has been widely used in many fields. It is commonly considered as an effective method to process uncertain information and control complicated nonlinear systems. It does not rely on the model of the controller object, with a better adaptability to changes in parameters of the system. The expression ability of the fuzzy language variable can be used to describe the experiences of humans. However in actual applications, where there are more fuzzy variables, the rule base will have a very large scale and the regulation of rules will become very complicated. In this article, a fuzzy controller based on a neural network is put forward through analyzing the features of the fuzzy control model and the driving experience of humans, greatly simplifying the design of the fuzzy controller for complicated systems.
{"title":"Fuzzy control of automatic automobile obstacle avoiding","authors":"Li Fangqin, Li Feng","doi":"10.1109/IVEC.1999.830686","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830686","url":null,"abstract":"The unmanned automobile has become a major research project in the automobile industry. The automobile will meet obstacles unavoidably on the road, so it is necessary to design a feasible controller for avoiding obstacles. Because of the complexity of the automatic obstacle avoiding system itself and of the uncertainty of the parameters, the original method of designing a controller by establishing models is limited. Driver experience provides a good control example for designing controllers and one can make use of this experience to design a controller for avoiding obstacles, which simulates the driving behaviors of humans. At present, fuzzy control technology has been widely used in many fields. It is commonly considered as an effective method to process uncertain information and control complicated nonlinear systems. It does not rely on the model of the controller object, with a better adaptability to changes in parameters of the system. The expression ability of the fuzzy language variable can be used to describe the experiences of humans. However in actual applications, where there are more fuzzy variables, the rule base will have a very large scale and the regulation of rules will become very complicated. In this article, a fuzzy controller based on a neural network is put forward through analyzing the features of the fuzzy control model and the driving experience of humans, greatly simplifying the design of the fuzzy controller for complicated systems.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130664182","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830674
L. Xiaolei, Wu Xiaobing
Rough set theory is used in this paper to treat the data of vehicle transmission system fault. The minimum fault character vector can be gained through calculating import and dependency of each attribute. Real-time diagnosis, as a result, can be realized. Ultima decision-making can be done by analyzing the consistency of decision information. The result shows that rough set theory is useful and predominant in this field.
{"title":"The application of rough set theory in vehicle transmission system fault diagnosis","authors":"L. Xiaolei, Wu Xiaobing","doi":"10.1109/IVEC.1999.830674","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830674","url":null,"abstract":"Rough set theory is used in this paper to treat the data of vehicle transmission system fault. The minimum fault character vector can be gained through calculating import and dependency of each attribute. Real-time diagnosis, as a result, can be realized. Ultima decision-making can be done by analyzing the consistency of decision information. The result shows that rough set theory is useful and predominant in this field.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114339552","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}
Pub Date : 1999-09-06DOI: 10.1109/IVEC.1999.830671
Jian Linsha, Z. Guoping
Adopting the theory and technology of a neural network, an ignition waveform based fault diagnosis neural network expert system (NNES) of an ignition system is built. This paper analyses the function and structure, knowledge acquisition and representation, reasoning technology and strategy of the NNES, and gives the models of the NNES.
{"title":"The research about fault diagnosis of ignition system with neural network","authors":"Jian Linsha, Z. Guoping","doi":"10.1109/IVEC.1999.830671","DOIUrl":"https://doi.org/10.1109/IVEC.1999.830671","url":null,"abstract":"Adopting the theory and technology of a neural network, an ignition waveform based fault diagnosis neural network expert system (NNES) of an ignition system is built. This paper analyses the function and structure, knowledge acquisition and representation, reasoning technology and strategy of the NNES, and gives the models of the NNES.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"2157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116598665","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}
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