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    • 2. 发明授权
    • Vehicle electric power assist steering system and method using velocity based torque estimation
    • 车辆电动助力转向系统和使用基于速度的扭矩估计方法
    • US06425454B1
    • 2002-07-30
    • US09505373
    • 2000-02-16
    • Rakan C. ChabaanLe Yi Wang
    • Rakan C. ChabaanLe Yi Wang
    • B62D504
    • B62D6/10B62D5/0463
    • A steering system (10) and method (70) for controlling the steering of a vehicle having a steering wheel (12), a steering column (14)connected to the steering wheel (12), and an electric motor (20) operatively engaged with the steering column (14) for supplying torque assist. A velocity detector is employed for detecting an angular velocity {dot over (&thgr;)}m of the electric motor (20). The system has a torque estimator (40) for determining an estimated torque signal Tdest as a function of the detected motor velocity {dot over (&thgr;)}m, and a motor controller (30) for generating a motor control signal (U) as a function of the estimated torque. Accordingly, the present invention reduces the complexity and cost of the electric power assist steering system by eliminating the need for a conventional pinion torque sensor, without sacrificing vehicle steering performance.
    • 一种用于控制具有方向盘(12)的车辆的转向系统(10)和方法(70),连接到方向盘(12)的转向柱(14)和可操作地接合的电动机(20) 与转向柱(14)用于提供扭矩辅助。 采用速度检测器来检测电动机(20)的角速度(θ)(m)。 该系统具有用于根据检测到的电动机速度(点)(θ)} m确定估计转矩信号Tdest的转矩估计器(40),以及用于产生电动机控制信号(U)的电动机控制器(30) 估计扭矩的函数。 因此,本发明通过消除对常规小齿轮扭矩传感器的需要,而不牺牲车辆转向性能来降低电动助力转向系统的复杂性和成本。
    • 3. 发明申请
    • Method and system for continuous monitoring and training of exercise
    • 持续监测和训练运动的方法和系统
    • US20070219059A1
    • 2007-09-20
    • US11725514
    • 2007-03-19
    • Mark H. SchwartzLe Yi WangHong Wang
    • Mark H. SchwartzLe Yi WangHong Wang
    • A63B15/02A63B71/00
    • A61B7/003A61B5/0205A61B5/02405A61B5/0402A61B5/7203A61B5/721A61B7/04A63B21/0628A63B22/02A63B22/0605A63B22/0664A63B24/0062A63B24/0075A63B24/0084A63B69/16A63B71/0622A63B2022/0652A63B2022/0658A63B2024/0068A63B2071/0627A63B2220/13A63B2220/17A63B2220/20A63B2220/40A63B2225/10A63B2225/15A63B2225/20A63B2225/50A63B2225/54A63B2230/04A63B2230/06A63B2230/42A63B2230/43G06F1/1626G06F19/3481
    • A method and system is invented for continuous monitoring, real-time analysis, and automated and personalized training of exercise. The system embodies a multi-sensor data acquisition system to measure body sounds, body signs, vital signs, motions, and machine settings continuously and automatically. The system is able to capture the body sounds and other vital signs, analyze them, and report and display summarized results. The signal processing functions utilize a unique signal separation and noise removal methodology by which authentic signals can be extracted from interfered signals and in noisy environments, even when signals and noises have similar frequency components or are statistically dependent.The method and system will facilitate continuous monitoring, real-time analysis, and computerized evaluation of level of effort, physical stress, and resulting fatigue during physical activity or exercise. In addition, based on body sound data, or in combination with other monitored physiological signals, and knowledge of the individual and exercise being performed, the system will evaluate the person's physical performance and then act as an automated coach to guide exercise intensity and duration thereby optimizing and individualizing the training process. The invention is especially targeted, but not limited to, cardiopulmonary monitoring for athletes for improving the efficiency and safety of exercise, rehabilitation programs for out-of-shape individuals, and routine exercise of the general population.
    • 发明了一种方法和系统,用于连续监测,实时分析和自动化和个性化的运动训练。 该系统体现了一种多传感器数据采集系统,可以持续,自动地测量身体声音,身体体征,生命体征,运动和机器设置。 该系统能够捕获身体声音和其他生命体征,分析它们,并报告和显示总结结果。 信号处理功能利用独特的信号分离和噪声去除方法,通过该方法可以从干扰信号和噪声环境中提取真实信号,即使信号和噪声具有相似的频率分量或统计依赖。 该方法和系统将有助于持续监测,实时分析,以及在身体活动或运动期间的努力水平,身体压力和疲劳导致的计算机化评估。 另外,根据身体声音数据,或与其他被监测的生理信号结合,以及执行个人和运动的知识,系统将评估人的身体表现,然后作为自动化教练来引导运动强度和持续时间,从而 优化和个性化培训过程。 本发明特别针对但不限于运动员的心肺监测,以提高运动的效率和安全性,体外个体的康复计划和一般人群的常规运动。
    • 5. 发明授权
    • Vehicle electric power assist steering system and method using angle based torque estimation
    • 车辆电动助力转向系统和使用基于角度的扭矩估计的方法
    • US06293366B1
    • 2001-09-25
    • US09505641
    • 2000-02-16
    • Rakan C. ChabaanLe Yi Wang
    • Rakan C. ChabaanLe Yi Wang
    • A01B6900
    • B62D6/10B62D5/0463
    • A steering system (10) and method (70) for controlling the steering of a vehicle having a steering wheel (12), a steering column (14) connected to said steering wheel (12), and an electric motor (20) operatively engaged with the steering column (14) for supplying torque assist. A steering angle sensor (32) is employed for sensing an angular position &thgr;c of the steering wheel (12). The system has a torque estimator (40) for determining an estimated torque signal (Tdest) as a function of the measured steering wheel angle, and a motor controller (30) for generating a motor control signal (U) as a function of said estimated torque. Accordingly, the present invention reduces the complexity and cost of the electric power assist steering system by eliminating the need for a conventional pinion torque sensor, without sacrificing vehicle steering performance.
    • 一种用于控制具有方向盘(12)的车辆的转向系统(10)和方法(70),连接到所述方向盘(12)的转向柱(14)和可操作地接合的电动马达(20) 与转向柱(14)用于提供扭矩辅助。 转向角传感器(32)用于感测方向盘(12)的角位置。 该系统具有用于确定作为所测量的方向盘角度的函数的估计转矩信号(Tdest)的扭矩估计器(40),以及用于根据所估计的功率生成电动机控制信号(U)的电动机控制器(30) 扭矩。 因此,本发明通过消除对常规小齿轮扭矩传感器的需要,而不牺牲车辆转向性能来降低电动助力转向系统的复杂性和成本。
    • 6. 发明授权
    • Vehicle electric power assist steering system and method using H-infinity control
    • 车用电动助力转向系统及使用无限远控制的方法
    • US06250419B1
    • 2001-06-26
    • US09504743
    • 2000-02-16
    • Rakan C. ChabaanLe Yi Wang
    • Rakan C. ChabaanLe Yi Wang
    • B62D504
    • B62D5/0463B62D6/10
    • A steering system (10) and method (70) for controlling the steering of a vehicle having a steering assembly including a steering wheel (12), a steering column (14) connected to said steering wheel (12), and an electric motor (20) operatively engaged with the steering assembly for supplying torque assist. A steering angle sensor (32) is employed for sensing an angular position &thgr;c of the steering column (14). The system has a torque estimator (40) for determining an estimated torque signal (Tdest), and an H-infinity controller (64) coupled in a feedback path (44) for generating a feedback signal which is combined with a feedforward signal to generate a motor control signal (U) as a function of the estimated torque. Accordingly, the present invention provides a stable and robust control system, without sacrificing steering performance and desired steering feel.
    • 一种用于控制具有转向组件的车辆的转向系统(10)和方法(70),所述转向组件包括方向盘(12),连接到所述方向盘(12)的转向柱(14)和电动马达( 20),其与转向组件可操作地接合以提供扭矩辅助。 转向角传感器(32)用于感测转向柱(14)的角位置。 系统具有用于确定估计转矩信号(Tdest)的扭矩估计器(40)和耦合在反馈路径(44)中的H无限远控制器,用于产生与前馈信号相组合的反馈信号,以产生 作为估计转矩的函数的电动机控制信号(U)。 因此,本发明提供了一种稳定而鲁棒的控制系统,而不牺牲转向性能和期望的转向感觉。
    • 7. 发明授权
    • System for identifying patient response to anesthesia infusion
    • 用于识别患者对麻醉输液的反应的系统
    • US08998808B2
    • 2015-04-07
    • US10561074
    • 2004-06-21
    • Le Yi WangHong WangGang George Yin
    • Le Yi WangHong WangGang George Yin
    • A61B5/00G06F19/00
    • G06F19/3468A61B5/0476A61B5/0484A61B5/4821A61M5/142A61M5/1723A61M2202/0241A61M2205/52A61M2230/10G06F19/00G06F19/3481
    • A generic model structure captures basic characteristics in BIS-based patients' responses to anesthesia and surgical stimulation, the model being used in combination with the insight of an anesthesiologist. The model structure represents the patient response with a time delay, a time constant for response speed, and a nonlinear function for drug sensitivity. Clinical data confirms the model structure and is used to establish parameters and function forms for individual patients. A feedback and predictive control strategy for anesthesia drug infusion is then introduced on the basis of the patient model. Feedback control alone cannot avoid large fluctuations in BIS values when significant surgical stimulation is imposed, as a result of time delays in a patient's response to drug infusion. Predictive control attenuates fluctuations of BIS levels from surgical stimulation.
    • 通用模型结构捕获了基于BIS的患者对麻醉和手术刺激的反应的基本特征,该模型与麻醉师的洞察结合使用。 模型结构表示患者反应时间延迟,反应速度的时间常数和药物敏感性的非线性函数。 临床资料证实了模型结构,用于为个体患者建立参数和功能形式。 然后在患者模型的基础上引入麻醉药物输注的反馈和预测控制策略。 由于患者对药物输注的反应时间延迟,单独的反馈控制不能避免在施加显着的手术刺激时BIS值的大的波动。 预测控制减少BIS水平从手术刺激的波动。