A novel control scheme is proposed in this paper for the sensorless control of interior permanent magnet synchronous machines (IPMSM) with the automatic tracking of the maximum-torque-per-ampere (MTPA) trajectory. Differing from the conventional method that the estimation of the rotor position and the tracking of MTPA trajectory are two separate processes, the proposed control scheme can achieve sensorless MTPA control of IPMSMs in one step by defining and constructing a proper virtual q-axis inductance to directly calculate the current space vector angle along the MTPA trajectory rather than the rotor position, which greatly simplifies the whole implementation process. Meanwhile, considering that the virtual q-axis inductance is changing with the machine parameters and the applied load, a simple signal processing technique based on the virtual high frequency signal injection is developed for the real-time and accurate acquisition of the virtual q-axis inductance. Furthermore, in order to ensure the reliability and stability of the proposed control scheme, the effective range of the virtual q-axis inductance is analyzed in detail. Finally, the experimental results on an IPMSM demonstrate the proposed control scheme can achieve the high-performance sensorless control with accurate MTPA self-tracking operation.

In this paper, we introduce an improved multi-sampling-based alternate current (ac) controller that can be applied to ac machine drives or grid-connected inverters. Unlike the classical multi-sampling controller, whose performance is restricted by the transport delays in the feedback acquisition chain, the improved internal model control-based controller can provide a high closed-loop bandwidth by shortening the averaging range and inserting a cascaded differential multiplier. The corresponding modified controller structure for embedding active resistance feedback could improve the disturbance rejection ability while maintaining unchanged closed-loop performance for tracking reference. Besides the common perspectives for current controller design, discussions about robustness to parameter variations, implementation issue concerning sampling noise immunity affected by the pulse-width modulation output method, the effect of execution time, and application with high fundamental frequency are also presented. Finally, the comprehensive experimental results are obtained from a platform with a three-phase inverter, digital controller, and a surface-mounted permanent magnet synchronous motor. The results verify that the proposed controller achieves a high closed-loop bandwidth of up to 20% of the sampling frequency without overshoots and oscillations.

Adaptive notch filter resonance suppression scheme is widely used in high-performance servo drivers. For high-damping system, the deviation between resonant and oscillation frequency will cause a long sustained vibration in traditional suppression schemes, which may damage the precision machine irreparably. To reduce the harm of sustained vibration, a fast adaptive notch filter scheme based on range-shifted discrete Fourier transform (R-SDFT) is proposed. Different from the traditional scheme, the new one eliminates the deviation between resonant and oscillation frequency by notch filter other than the low-pass filter, which massively simplifies the suppression process and reduces the number of oscillation frequency detection required. Meanwhile, an oscillation detection method based on R-SDFT is presented to shorten the time of the detective process through interval detection and prediction strategy. Compared with the traditional strategy, the experimental results demonstrate that the proposed adaptive suppression scheme can reduce the oscillation time by more than half.