An encoderless high-performance synchronous reluctance motor drive

Abstract

This paper presents an encoderless highperformance synchronous reluctance motor drive for traction applications. The control system is based on the active flux concept and a hybrid rotor position estimation algorithm is used, being this algorithm based on the injection of highfrequency signals at low speeds and on the position of the active flux vector for medium and high-speeds. A smooth transition algorithm between the two rotor position estimation methods is provided. Moreover, in order to improve the efficiency of the overall drive system, a loss minimization algorithm is proposed in order to reduce the motor copper losses when operating in steady-state. Experimental results obtained in the laboratory confirm the validity and adequacy of the proposed algorithms for the developed drive system.

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

“…14. The position error θ err e reaching up to 17 degrees is similar to the values obtained by experiments with already proposed methods [18], [21], [32], however, superior performance was demonstrated in [16], [33]. The position error θ err e peaked during speed and torque dynamic changes, which is also visible asL d andL q inductance estimation disturbances, however, the steady-state position error θ err e mostly stayed below 10 degrees.…”

“…the hybrid algorithms are usually employed. For example a similar experiment was done in [21] with the hybrid algorithm on 3 kW SynRM machine, showing comparable performance. However, unlike the proposed algorithm, it requires a fusion of position and speed estimates from two separate algorithms.…”

“…Algorithms based on extended electromotive force (EMF) are then used in the medium-high speed range [19], [20]. Low-and high-speed algorithms are usually either explicitly switched when crossing the speed region, or a hybrid algorithm is employed [21]- [23].…”

A Review of Synchronous Reluctance Motor-Drive Advancements

“…The first efforts directed to MTPA of SynRM have focused on the minimization of input power with different algorithms. The perturbed d-axis current and low convergence [189], the instability of the response due to a slow current chattering around the minimum loss operating point, and noisy input power signal effect [190] were some challenges with Some control theories are applied for sensorless control methods in drive systems. Model reference adaptive system (MRAS) [178][179][180] open-loop speed estimation [181], EKF [106,182], sliding mode control (SMC) [178], and artificial neural networks (ANN) [114] are the most well-known strategies presented in the literature.…”

“…The first efforts directed to MTPA of SynRM have focused on the minimization of input power with different algorithms. The perturbed d-axis current and low convergence [189], the instability of the response due to a slow current chattering around the minimum loss operating point, and noisy input power signal effect [190] were some challenges with MTPA strategies. The other issue that the MTPA strategies are faced with is machine parameter dependence.…”