Method of estimating the state of a system and relative...

Details Method of estimating the state of a system and relative... Method of estimating the state of a system and relative...

2007-08-02

2010-02-09

Ip, Paul (Department: 2837)

Electricity: motive power systems

Synchronous motor systems

Synchronization systems

C318S716000, C318S568130

Reexamination Certificate

active

07659685

ABSTRACT:
A method for estimating the state of a system, as well as an extended Kalman filter (EKF), allows nonlinear mathematical models to be used for describing the system. Accurate precision is provided since the method is based on an EKF technique while using a filter that implements a first degree Stirling approximation formula. The method may be used for estimating position and speed of a brushless motor, and may be implemented in a relative device. Such a device may be introduced in a control loop of a brushless motor of a power steering system for a vehicle to provide a countering torque on the steering wheel based on speed of the vehicle and a steering angle of the vehicle.

REFERENCES:
patent: 6316904 (2001-11-01), Semenov et al.
patent: 7294988 (2007-11-01), Ajima et al.
patent: 2003/0060902 (2003-03-01), Miller
patent: 2004/0062062 (2004-04-01), Lee et al.
patent: 2005/0007044 (2005-01-01), Qiu et al.
patent: 2006/0125439 (2006-06-01), Ajima et al.
Alanis et al.; “Discrete-Time Recurrent Neural Induction Motor Control Using Kalman Learning”; Jul. 2006; pp. 1993-2000; XP002410493.

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