Abstract
The existing adaptive linear neuron (ADALINE) based speed ripple suppression method is affected by the permanent magnet synchronous motor (PMSM) control system delay and limited by the speed controller cutoff frequency, resulting in system instability. This paper proposes a speed ripple suppression based on stability-enhanced ADALINE for PMSM drives. Under unknown system delay conditions, the integral saturation characteristics in the ADALINE network are extracted to obtain system instability information. An anti-instability disturbance sliding mode tracking controller is constructed to extract the phase delay of the speed ripple suppression system and optimize the phase convergence trajectory. Besides, according to the desaturation mapping relationship of the speed ripple sine-cosine components, a phase delay adaptive selection strategy is proposed to achieve adaptive regulation for phase delay, enhancing the speed ripple suppression system stability when the ripple frequency exceeds the speed controller cutoff frequency. The stability and convergence are analyzed in detail. The effectiveness of the proposed method is verified on a 2.2 kW PMSM drive platform.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Power Electronics |
| DOIs | |
| State | Accepted/In press - 2026 |
Keywords
- adaptive linear neuron
- integral saturation characteristics
- permanent magnet synchronous motor
- phase delay adaptive regulation
- speed ripple suppression
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