Permanent magnet synchronous motor rotor position observer
A permanent magnet synchronous motor, rotor position technology, applied in the control of generator, motor generator control, control of electromechanical brakes, etc., can solve the problem of 6th harmonic pulsation observation error, achieve good dynamic performance, satisfactory control performance, The effect of improving control performance
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specific Embodiment approach 1
[0024] Specific implementation mode one: the following combination figure 1 Describe this embodiment, the permanent magnet synchronous motor rotor position observer described in this embodiment, it includes sliding mode observer 1, saturation function processing module 2, low-pass filter 3, per unit processing module 4, neural network filter 5 and PLL 6,
[0025] The stator voltage u in the two-phase stationary coordinate system of the permanent magnet synchronous motor s Output stator current observation value after observation by sliding mode observer 1 The stator current observed value and stator current value i s The difference is taken as the stator current observation error i s , the stator current observation error i s After being processed by the saturation function processing module 2, the sliding mode control vector z under the two-phase stationary coordinate system is output, and the described sliding mode control vector z is processed by the low-pass filter ...
specific Embodiment approach 2
[0043] Specific implementation mode two: the following combination figure 2 Describe this embodiment, this embodiment will further explain Embodiment 1, and obtain the observed value of the α-axis back electromotive force e afα The process is:
[0044] Step a, get the rotor position observation value output by phase-locked loop 6 The sine term is multiplied by a gain of 5 7 times gain Rotor position observations The cosine term is multiplied by a gain of 5 7 times gain As a reference input to the neural network filter,
[0045] Step b, the last cycle α-axis counter electromotive force observation value e output by the neural network filter 5 afα (n-1) multiplied by the gain k 11 (n), k 12 (n), k 21 (n) and k 22 (n) Get four products,
[0046] Step c, the four products obtained in step b and the filter coefficient w of the previous cycle respectively 11 (n-1), w 12 (n-1), w 21 (n-1) and w 22 (n-1) are added to get the filter coefficient w 11 (n),w 12 (n...
specific Embodiment approach 3
[0049] Specific implementation mode three: the following combination image 3 Describe this embodiment. This embodiment is a further limitation of Embodiment 1, and the observed value e of the β-axis counter electromotive force is obtained afβ The process is:
[0050] Step 1. Obtain the rotor position observation value output by phase-locked loop 6 The sine term is multiplied by a gain of 5 7 times gain Rotor position observations The cosine term is multiplied by a gain of 5 7 times gain As a reference input to the neural network filter,
[0051] Step 2, the last cycle β-axis counter electromotive force observation value e output by the neural network filter 5 afβ (n-1) multiplied by the gain k 11 (n), k 12 (n), k 21 (n) and k 22 (n) Get four products,
[0052] Step 3. Combine the four products obtained in step 2 with the filter coefficient w of the previous cycle respectively 11 (n-1), w 12 (n-1), w 21 (n-1) and w 22 (n-1) are added to get the filter coe...
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