Summary This paper proposes new adaptive predictive control approach to control the current loop of the surface permanent magnet synchronous motor (SPMSM) called as extended state space predictive control. The state space model of SPMSM was extended by taking the past inputs as system state variables in the state space model. Then, a new state space model based on the state changes and output tracking error as the new states for new extended state space model was proposed for SPMSM. Accordingly, a new cost function was proposed which provided the change of the control input. Therefore, the simulation results proved that the proposed method had improved reference tracking, fast transient response, compensation of parameter variations, and disturbance attenuation compared to PI controller in field‐oriented vector control scheme.

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