专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2004012139A3 INTELLIGENT MECHATRONIC CONTROL SUSPENSION SYSTEM BASED ON QUANTUM SOFT COMPUTING 审中-公开
标题翻译：基于量子软计算的智能机械控制悬架系统
公开(公告)号：WO2004012139A3
公开(公告)日：2005-02-24
申请号：PCT/US0323727
申请日：2003-07-29
申请人： YAMAHA MOTOR CO LTD
发明人： ULYANOV SERGEI V , PANFILOV SERGEI , HAGIWARA TAKAHIDE , TAKAHASHI KAZUKI , LITVINTSEVA LUDMILA , ULYANOV VIKTOR S
IPC分类号： B60G17/015 , G05B13/02 , G06N3/00 , G06N99/00 , G06N1/00
CPC分类号： G06N99/002 , B82Y10/00
摘要： A control system for optimizing a shock absorber having a non-linear kinetic characteristic is described. The control system uses a fitness (performance) function that is based on the physical laws of minimum entropy and biologically inspired constraints relating to mechanical constraints and/or rider comfort, driveability, etc. In one embodiment, a genetic analyzer is used in an off-line mode to develop a teaching signal. The teaching signal can be approximated online by a fuzzy controller that operates using knowledge from a knowledge base. A learning system is used to create the knowledge base for use by the online fuzzy controller. In one embodiment, the learning system uses a quantum search algorithm to search a number of solution spaces to obtain information for the knowledge base. The online fuzzy controller is used to program a linear controller.
摘要翻译：描述了一种用于优化具有非线性动力特性的减震器的控制系统。控制系统使用基于最小熵的物理定律和与机械约束和/或骑手舒适性，驾驶性能等有关的生物学启发约束的适应性（性能）功能。在一个实施例中，将遗传分析仪用于关闭线模式开发教学信号。教学信号可以通过使用来自知识库的知识进行操作的模糊控制器在线近似。学习系统用于创建在线模糊控制器使用的知识库。在一个实施例中，学习系统使用量子搜索算法来搜索多个解空间以获得知识库的信息。在线模糊控制器用于编程线性控制器。

2. 发明申请

WO2004025137A2 FUZZY CONTROLLER WITH A REDUCED NUMBER OF SENSORS 审中-公开
标题翻译：具有减少传感器数量的FUZZY控制器
公开(公告)号：WO2004025137A2
公开(公告)日：2004-03-25
申请号：PCT/US0328999
申请日：2003-09-15
申请人： YAMAHA MOTOR CO LTD , YAMAHA MOTOR CORP USA
发明人： HAGIWARA TAKAHIDE , ULYANOV SERGEI V , PANFILOV SERGEI A , TAKAHASHI KAZUKI , KANEKO CHIKAKO , DIAMANTE OLGA
IPC分类号： B60G17/015 , B60G17/018 , B60G17/0195 , B60G17/08 , B62K25/00 , B62K25/04 , G05B13/02 , G06N3/00 , G06N3/04 , F16F
CPC分类号： B62K25/04 , B60G17/0182 , B60G17/0195 , B60G17/08 , B60G2200/142 , B60G2202/135 , B60G2202/24 , B60G2400/0531 , B60G2400/0532 , B60G2400/102 , B60G2400/202 , B60G2600/1878 , B60G2600/1879 , B60G2600/1882 , B60G2800/702 , B62K2025/044 , G05B13/0285 , G06N3/0436
摘要： A control system for optimizing the performance of a vehicle suspension system by controlling the damping factor of one or more shock absorbers is described. In one embodiment, the control system uses a fuzzy neural network. A teaching signal for the fuzzy neural network is generated using road signal data and a mathematical model of the vehicle suspension system. The teaching signal is used to develop a knowledge base for the fuzzy neural network. In one embodiment, inputs to the fuzzy neural network include damper velocities, heave acceleration, pitch acceleration, and roll acceleration. In one embodiment, the heave acceleration signal from the teaching signal is filtered to develop inputs for the fuzzy neural network, thereby reducing the number of sensors. In one embodiment, a Fourier transform analysis of the heave acceleration signal is provided to the fuzzy neural network.
摘要翻译：描述了通过控制一个或多个减震器的阻尼系数来优化车辆悬架系统的性能的控制系统。在一个实施例中，控制系统使用模糊神经网络。使用道路信号数据和车辆悬架系统的数学模型生成模糊神经网络的教学信号。教学信号用于开发模糊神经网络的知识库。在一个实施例中，对模糊神经网络的输入包括阻尼速度，起伏加速度，俯仰加速度和滚动加速度。在一个实施例中，来自教学信号的起伏加速度信号被滤波以开发用于模糊神经网络的输入，从而减少传感器的数量。在一个实施例中，将提升加速度信号的傅里叶变换分析提供给模糊神经网络。

3. 发明专利

AU2003256997A1 INTELLIGENT MECHATRONIC CONTROL SUSPENSION SYSTEM BASED ON QUANTUM SOFT COMPUTING 未知
公开(公告)号：AU2003256997A1
公开(公告)日：2004-02-16
申请号：AU2003256997
申请日：2003-07-29
申请人： YAMAHA MOTOR CO LTD
发明人： TAKAHASHI KAZUKI , LITVINTSEVA LUDMILA , ULYANOV SERGEI V , PANFILOV SERGEI , HAGIWARA TAKAHIDE
IPC分类号： B60G17/015 , G05B13/02 , G06N3/00 , G06N99/00 , G06N1/00
摘要： A control system for optimizing a shock absorber having a non-linear kinetic characteristic is described. The control system uses a fitness (performance) function that is based on the physical laws of minimum entropy and biologically inspired constraints relating to mechanical constraints and/or rider comfort, driveability, etc. In one embodiment, a genetic analyzer is used in an off-line mode to develop a teaching signal. The teaching signal can be approximated online by a fuzzy controller that operates using knowledge from a knowledge base. A learning system is used to create the knowledge base for use by the online fuzzy controller. In one embodiment, the learning system uses a quantum search algorithm to search a number of solution spaces to obtain information for the knowledge base. The online fuzzy controller is used to program a linear controller.

4. 发明专利

AU2003278815A8 Fuzzy controller with a reduced number of sensors 未知
公开(公告)号：AU2003278815A8
公开(公告)日：2004-04-30
申请号：AU2003278815
申请日：2003-09-15
申请人： YAMAHA MOTOR CO LTD , YAMAHA MOTOR CORP USA
发明人： PANFILOV SERGEI A , TAKAHASHI KAZUKI , KANEKO CHIKAKO , DIAMANTE OLGA , HAGIWARA TAKAHIDE , ULYANOV SERGEI V
IPC分类号： B60G17/015 , B60G17/018 , B60G17/0195 , B60G17/08 , B62K25/00 , B62K25/04 , G05B13/02 , G06N3/00 , G06N3/04
摘要： A control system for optimizing the performance of a vehicle suspension system by controlling the damping factor of one or more shock absorbers is described. In one embodiment, the control system uses a fuzzy neural network. A teaching signal for the fuzzy neural network is generated using road signal data and a mathematical model of the vehicle suspension system. The teaching signal is used to develop a knowledge base for the fuzzy neural network. In one embodiment, inputs to the fuzzy neural network include damper velocities, heave acceleration, pitch acceleration, and roll acceleration. In one embodiment, the heave acceleration signal from the teaching signal is filtered to develop inputs for the fuzzy neural network, thereby reducing the number of sensors. In one embodiment, a Fourier transform analysis of the heave acceleration signal is provided to the fuzzy neural network.

5. 发明专利

AU2003278815A1 FUZZY CONTROLLER WITH A REDUCED NUMBER OF SENSORS 未知
公开(公告)号：AU2003278815A1
公开(公告)日：2004-04-30
申请号：AU2003278815
申请日：2003-09-15
申请人： YAMAHA MOTOR CO LTD
发明人： PANFILOV SERGEI A , TAKAHASHI KAZUKI , KANEKO CHIKAKO , DIAMANTE OLGA , HAGIWARA TAKAHIDE , ULYANOV SERGEI V
IPC分类号： B60G17/015 , B60G17/018 , B60G17/0195 , B60G17/08 , B62K25/00 , B62K25/04 , G05B13/02 , G06N3/00 , G06N3/04
摘要： A control system for optimizing the performance of a vehicle suspension system by controlling the damping factor of one or more shock absorbers is described. In one embodiment, the control system uses a fuzzy neural network. A teaching signal for the fuzzy neural network is generated using road signal data and a mathematical model of the vehicle suspension system. The teaching signal is used to develop a knowledge base for the fuzzy neural network. In one embodiment, inputs to the fuzzy neural network include damper velocities, heave acceleration, pitch acceleration, and roll acceleration. In one embodiment, the heave acceleration signal from the teaching signal is filtered to develop inputs for the fuzzy neural network, thereby reducing the number of sensors. In one embodiment, a Fourier transform analysis of the heave acceleration signal is provided to the fuzzy neural network.

6. 发明公开

EP1540198A4 FUZZY CONTROLLER WITH A REDUCED NUMBER OF SENSORS 审中-公开
标题翻译：带有传感器的数量减少模糊控制
公开(公告)号：EP1540198A4
公开(公告)日：2006-06-21
申请号：EP03770333
申请日：2003-09-15
申请人： YAMAHA MOTOR CO LTD , YAMAHA MOTOR CORP USA
发明人： HAGIWARA TAKAHIDE , ULYANOV SERGEI V , PANFILOV SERGEI A , TAKAHASHI KAZUKI , KANEKO CHIKAKO , DIAMANTE OLGA
IPC分类号： B60G17/015 , B60G17/018 , B60G17/0195 , B60G17/08 , B62K25/00 , B62K25/04 , G05B13/02 , G06N3/00 , G06N3/04 , F16F1/00
CPC分类号： B62K25/04 , B60G17/0182 , B60G17/0195 , B60G17/08 , B60G2200/142 , B60G2202/135 , B60G2202/24 , B60G2400/0531 , B60G2400/0532 , B60G2400/102 , B60G2400/202 , B60G2600/1878 , B60G2600/1879 , B60G2600/1882 , B60G2800/702 , B62K2025/044 , G05B13/0285 , G06N3/0436
摘要： A control system for optimizing the performance of a vehicle suspension system by controlling the damping factor of one or more shock absorbers is described. In one embodiment, the control system uses a fuzzy neural network (1301). A teaching signal (1006) for the fuzzy neural network is generated using road signal data and a mathematical model of the vehicle suspension system. The teaching signal is used to develop a knowledge base (1302) for the fuzzy neural network. In one embodiment, inputs to the fuzzy neural network include damper velocities, heave acceleration, pitch acceleration, and roll acceleration. In one embodiment, the heave acceleration signal from the teaching signal is filtered to develop inputs for the fuzzy neural network, thereby reducing the number of sensors. In one embodiment, a Fourier transform analysis of the heave acceleration signal is provided to the fuzzy neural network.

7. 发明专利

JPH10288624A SENSOR FOR DETECTING MOVING DIRECTION 失效
公开(公告)号：JPH10288624A
公开(公告)日：1998-10-27
申请号：JP9935097
申请日：1997-04-16
申请人： YAMAHA MOTOR CO LTD
发明人： HAGIWARA TAKAHIDE
IPC分类号： G01P13/02 , F15B15/28 , G01D5/14 , G01R33/02 , G01V3/08
摘要： PROBLEM TO BE SOLVED: To make it possible to detect the moving direction with the simple constitution by arranging a magnet so that both electrodes face a moving body on the moving line of the moving body, and detecting the residual magnetism generated by the movement of the moving body with a residual-magnetism detecting means provided at the center of both electrodes. SOLUTION: In this moving-direction detecting sensor 15, a permanent magnet 16, wherein a a Hall element 20 is provided at the central part in the inner space, is arranged so as to face a moving body 9 and both electrodes S and N on the moving line of the moving body 9. Under the stationary state of the moving body 9, the magnetic-flux density becomes 0 at the central part, to which the Hall element 20 faces, and the output signal from an amplifier circuit also becomes 0. When the moving body 9 relatively moves leftward (rightward) from this state, the magnetizing curve is relatively moved to rightward (leftward). The residual magnetism by hysterisis in this case is detected with the Hall element 20, and the specified voltage of +(-) is outputted and amplified with the amplifier circuit. Thus, the moving-direction signal is obtained and inputted by a controller. In this way, the moving direction of the moving body 9 can be detected with the simple structure.

8. 发明专利

JPS6158648B2 失效
公开(公告)号：JPS6158648B2
公开(公告)日：1986-12-12
申请号：JP14381678
申请日：1978-11-21
申请人： YAMAHA MOTOR CO LTD
发明人： HAGIWARA TAKAHIDE , SAKAKIBARA TOSHUKI , ITO HIROSHI
IPC分类号： F01N1/08 , F01N13/00 , F01N13/18 , F01N99/00

9. 发明专利

JPS5583675A ENGINE SUPPORT FOR MOTORCYCLE 失效
公开(公告)号：JPS5583675A
公开(公告)日：1980-06-24
申请号：JP15796378
申请日：1978-12-21
申请人： YAMAHA MOTOR CO LTD
发明人： SAKAKIBARA TOSHIYUKI , FURUTA ZENZOU , HAGIWARA TAKAHIDE , TAKAHASHI HIROYUKI
IPC分类号： B62M7/04 , B62K11/00 , B62K11/10

10. 发明专利

JPS612554B2 JPS612554B2 - 失效
公开(公告)号：JPS612554B2
公开(公告)日：1986-01-25
申请号：JP12642078
申请日：1978-10-14
申请人： Yamaha Motor Co Ltd
发明人： SAKAKIBARA TOSHUKI , FURUTA ZENZO , HAGIWARA TAKAHIDE , TAKAHASHI HIROYUKI
IPC分类号： B62M7/04 , B62K11/10 , B62K25/28

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式