Spiral Vector Theory Research Articles

Sensorless direct vector control of an induction motor

In high-performance variable speed AC drive systems it is often important to accurately determine machine parameters and rotor speed values. An extended complex Kalman filter (ECKF) is used to estimate rotor resistance and mutual inductance without the use of a speed sensor. Such estimates are important in air gap flux orientation control. The ECKF is chosen over the more common extended Kalman filter based on the real-valued model as it is not as computationally intensive. The model of an induction machine obtained by the spiral vector theory and the ECKF are used to develop a new adaptive direct air gap flux orientation control with two sensors: one for the stator voltage and one for the stator current without Park transformation. The simulation tests show the effectiveness of the proposed adaptive direct air gap flux orientation control method.

Spiral Vector Theory Applied to Salient-Pole Synchronous Machine

Abstract The authors propose a mathematical method based on the spiral vector theory allowing to performance equations of AC machines as function of variables of only stator and rotor phase. The paper will apply this method to salient-pole synchronous machine and performance equations derived by the spiral vector method provide adequate computer simulation of the salient-pole synchronous machine. State variables of all the windings are expressed by spiral vectors and the phase segregation method is restored to drive circuit equations of the stator windings.

スパイラルベクトル理論による同期機モデルの三相短絡事故解析

スパイラルベクトル理論による同期機モデルの三相短絡事故解析

Spiral vector theory of AC circuits and machines

Spiral vector theory of AC circuits and machines

Spiral vector theory of AC circuit and machine.

Spiral vector theory of AC circuit and machine.