كنترل بدون حسگر سرعت موتور سنكرون رلوكتانسي با هدف كاهش نوسانات سرعت و گشتاور

Sensorless Torque an‎d Speed Control of a Synchronous Reluctance Motor for Reducing Speed an‎d Torque Oscillations

مهندسي برق

Sensorless control of synchronous reluctance motors (SynRM), by eliminating mechanical speed/position sensors, reduces cost an‎d hardware complexity while improving system reliability in industrial environments. Nevertheless, the nonlinear motor dynamics, parameter variations, an‎d degraded performance sensitivity at low speeds an‎d under variable loads make the development of a robust strategy for mitigating torque ripple an‎d speed oscillations essential. This thesis, entitled “Sensorless Torque an‎d Speed Control of a Synchronous Reluctance Motor for Reducing Speed an‎d Torque Ripples,” proposes a sensorless control framework based on field-oriented control (FOC). Within this framework, a third-order sliding mode controller (TOSMC) is employed to suppress torque ripple, enhance speed regulation under load disturbances, an‎d improve overall dynamic stability. Rotor speed is estimated using a linear time-varying Luenberger observer with a time-varying error-injection gain derived from the time-varying Riccati equation. In addition, a Line Kalman observer is implemented to benchmark an‎d compare estimation performance. The proposed approach is validated through simulation on a four-pole, 2-kW SynRM with a rated speed of 1500 rpm an‎d a rated torque of 13 N•m. Simulation results confirm satisfactory convergence across a wide range of loading conditions with no significant steady-state error. For instance, in a speed reduction scenario from 500 rpm to zero, the controller tracks the reference an‎d reaches a near-zero steady state within approximately 0.12 s. Under a load disturbance test, a sudden increase in load torque up to 1.5× the rated torque causes only a transient speed dip, after which the controller restores operation to the new steady state by regulating the stator currents. Similarly, in combined conditions—simultaneous speed-reference changes an‎d load disturbances—system stability is preserved an‎d the speed dro‎p due to the additional load is compensated within a short time. Furthermore, comparative results indicate that the Luenberger observer provides superior performance over the Line Kalman observer at low speeds (below 300 rpm) an‎d achieves a stable speed estimate during start-up within about 0.05 s.

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