In the deadbeat speed control system of an interior permanent magnet synchronous motor (IPMSM)，introducing a sliding mode observer (SMO) can reduce the cost of torque sensors and mitigate sensor noise. However, the use of switching functions inevitably induces chattering. Although decreasing the sliding mode gain alleviates chattering, it also compromises response speed. To address this trade-off, this paper proposes an recursive least squares (RLS)-based adaptive-gain SMO. Unlike conventional adaptive SMOs, the proposed method employs an RLS-based adaptive gain to anticipate the evolution of estimation errors and adjust accordingly, thereby accommodating unknown sudden load disturbances while keeping the chattering at a level comparable to that of a fixed small-gain SMO. The effectiveness and superior performance of the proposed method are validated on a 2.3-kW IPMSM control platform.

PMSM,SMO,recursive least squares,Deadbeat Predictive Speed Control