Indirect vector control with simplified rotor resistance adaptation for induction machines

Abstract

A novel indirect vector control system for induction machines is proposed. To ensure accurate rotor flux orientation in face of severe thermal drift of the rotor resistance during practical operation, the system features a new rotor resistance adaptation method. The latter is based on the elimination of the q-axis rotor flux, which is calculated from steady-state relations of the induction machine. Compared with other rotor resistance adaptation methods found in the literature, for example, observer-based and model reference adaptive system-based methods, the proposed one poses much less computation burden and is quite convenient for online implementation. The basic principle and theoretical analysis are presented. The effects of other motor parameters on the adaptation method are also investigated. Based on the investigation results, a stator resistance compensation algorithm is incorporated to reduce the impact of incorrect stator resistance at low speeds. Some non-negligible issues in practical applications, such as dead-time effect and transport delay of digital pulse-width modulation process, are also investigated and taken care of. Simulation and experimental results show good dynamic and steady-state performance.Nomenclature u sd , u sq stator voltages in synchronously rotating frame i sd , i sq stator currents in synchronously rotating frame c rd , c rq rotor fluxes in synchronously rotating frame r s , r r stator and rotor resistanceŝ r s ,r r estimated stator and rotor resistances/stator and rotor resistances used in control system that are considered not necessarily accurate l s , l r , l m stator, rotor and main inductances σ leakage factor (= 1 − l 2 m /(l s l r )) l σ total leakage inductance ( = σl s ) t r ,t r actual and estimated rotor time constants (t r = l r /r r ) ω 1 , ω r synchronous and rotor angular frequencies θ 1 , θ r position angles of rotor flux and rotor shaft ω 2 , θ 2 slip frequency and slip angle (ω 2 = ω 1 − ω r , θ 2 = θ 1 − θ r ) T e electromagnetic torque n p number of pole pairs p differential operator ( = d/dt) T s sampling period t d delay time

Reduced Order Extended Kalman Filter based Parameter Estimations for speed-sensored Induction Motor Drive

“…Bu çalışmalardan, Ref. [2]'de hız-algılayıcılı kestirimi vektör kontrol başarımını arttırmak için gerçekleştirilmiş ancak sıfır hız ve alan zayıflama bölgesi sonuçları sunulmamıştır. Ref.…”

Dynamic Simulations of Adaptive Design Approaches to Control the Speed of an Induction Machine Considering Parameter Uncertainties and External Perturbations

“…0.009 (4). .0006 (4) The performance of the FLC based on LM is evaluated in Figure 13. The transient oscillation, settling time, and SSE increase comparatively less than with parameter and load variation.…”

“…In scalar control, constant torque and flux response is achieved by simple a V/f or Volts/Hertz constant rule with the sluggish dynamic response. In the greater part of advanced, industrial electrical-drive control-applications, the standardized technique to control squirrel cage induction motors is based on the VC principle to accomplish the best dynamic performance [3,4]. In VC or Field-Oriented Control (FOC), like a separately excited DC motor, the flux and torque are individually controlled [5].…”

Asenkron Motorun Karma Kesti̇ri̇ci̇ Tabanli Hiz-Algilayicili Doğrudan Vektör Kontrolü

“…Rotor akısı temelli ASM modeli kullanılarak oluşturulan tam dereceli GKF kestiricisi ile ′ ve kestiriminin gerçekleştirildiği [10]'da, ASM'nin çalıştığı hız bölgesi ve yük momenti hakkında herhangi bir bilgi sunulmamıştır. [11]'de alan yönlendirmeli kontrol başarımını arttırmak için ′ kestirimi gerçeklenmiş olup düşük/sıfır hızda kestirim sonuçlarına yer verilmemiştir. [12]'de aktif güç ve motor momenti tabanlı modele uyarlamalı sistem kullanılarak ′ kestirimi gerçekleştirilmiştir.…”