Single Inverter Fed Speed Sensorless Vector Control of Parallel Connected Two Motor Drive

Abstract

Original scientific paperThis paper describes a speed sensorless vector control method of the torque for cost-effective parallel-connected dual induction motor fed by a single inverter. A natural observer with load torque adaptation is employed to estimate the speeds of the same rating induction motors connected in parallel and fed by a single inverter. The speed difference between the two induction motors for unbalanced load conditions is less in natural observer than the conventional adaptive rotor flux observer. Direct field oriented control is used to calculate the rotor angle from the estimated rotor fluxes and the mean rotor flux is kept constant by rotor flux feedback control. The simulation and experimental results of studies are demonstrated for various running conditions to prove the effectiveness of the proposed method. The closed loop speed control operation with inner current control was performed by TMS320F2812 processor.Key words: Field oriented control, Induction motor, Natural observer, Sensorless vector control Vektorsko upravljanje momentom bez korištenja senzora brzine za paralelno spojeni pogon s dva motora. U ovom radu opisano je vektorsko upravljanje momentom bez korištenja senzora brzine za paralelno spojeni dualni asinkroni motor napajan jednim inverterom. Prirodni observer s adaptacijom momenta tereta koristi se za estimaciju brzina jednakih asinkronih motora spojenih u paralelu i napajanih jednim inverterom. Razlika u brzinama izmeu dva asinkrona motora pri asimetričnim teretima je manja kod prirodnog observera, nego kod konvencionalnog adaptivnog observera toka u rotoru. Izravno vektorsko upravljanje koristi se za računanje kuta rotora iz estimiranih tokova rotora, a srednja vrijednost toka rotora održava se konstantnom korištenjem upravljanja u povratnoj vezi. Simulacijski i eksperimentalmni rezultati prikazani su za različite pogonske uvjete kako bi se pokazala učinkovitost predložene metode. Upravljanje brzinom u zatvorenoj petlji s unutanjim krugom za upravljanje strujom izvodi se u TMS320F2812 procesoru.Ključne riječi: vektorsko upravljanje, asinkroni motor, prirodni observer, vektorsko upravljanje bez senzora

Rotor Position Synchronization in Central-Converter Multi-Motor Electric Actuation Systems

“…Prior research studies investigating multi-motor control approaches using DCMM [11][12][13] and CCMM architectures [14][15][16][17][18][19][20][21][22][23][24][25][26] have been discussed in the literature. In [26], the authors treat the set of motors as a single equivalent motor by employing averaging calculations on state variables (e.g., current and flux) to control the average motor behavior.…”

“…In [26], the authors treat the set of motors as a single equivalent motor by employing averaging calculations on state variables (e.g., current and flux) to control the average motor behavior. However, in [23], this approach was demonstrated to introduce instabilities under uneven torque loading conditions. Other researchers have investigated mean and differential calculations, where circulating currents were considered in the control (average and differential control) [14,15,[18][19][20][21][22][23].…”

“…However, in [23], this approach was demonstrated to introduce instabilities under uneven torque loading conditions. Other researchers have investigated mean and differential calculations, where circulating currents were considered in the control (average and differential control) [14,15,[18][19][20][21][22][23]. Other techniques described in the literature are as follows: mean and primary-secondary control [17], weighted vector control [16], a matrix converter combined with direct torque control [18], electronic line virtual shaft [24,25], and smart switching strategies [24,25].…”

“…Other techniques described in the literature are as follows: mean and primary-secondary control [17], weighted vector control [16], a matrix converter combined with direct torque control [18], electronic line virtual shaft [24,25], and smart switching strategies [24,25]. The research in [15,16,[18][19][20][21][22][23][24][25] investigated speed control, while torque control was considered in [14,17]. In [15,[18][19][20][21][22][23], the researchers eliminated speed and flux sensors to enable sensor-less control in a CCMM context.…”

Newton–Raphson based scalar speed control and optimization of IM

“…Scalar and vector control methods are usually used in the control of IMs [4]. It is observed that the vector control method has preferred in many studies due to its better dynamic response [6][7][8]. However, Scalar Control Method (SCM) has a simple structure and it is easy to apply.…”