Robust self-tuning MTPA algorithm for IPMSM drives

Dianov, Anton; Young-Kwan, Kim; Sang-Joon, Lee; Lee, Sang-Taek

doi:10.1109/iecon.2008.4758151

Cited by 61 publications

(12 citation statements)

References 6 publications

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“…Substituting (9) into (4) leads to the relationship between the electromagnetic torque and the q-axis current as given by (10) where the maximum efficiency operation can be achieved in the constant torque region.…”

Section: Proposed High Efficiency Controlled Drive System Setupmentioning

confidence: 99%

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Analysis and simulation of efficiency optimized IPM drives in constant torque region with reduced computational burden

Koç¹,

Emiroğlu²,

Tamyürek³

2021

Turkish Journal of Electrical Engineering and Computer Sciences

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Moving from internal combustion engine based towards electric based transportation is crucial for wide societies as they facilitate the use of green energy technologies such as wind and solar. Interior mounted permanent magnet (IPM) machines, also known as salient brushless AC machines, are commonly employed in traction applications as they have superior features such as high efficiency operation, high torque and power densities. The efficiency optimization in IPM drives is achieved by obtaining and operating at accurate and unique current angle for a certain electromagnetic torque demand. In conventional drives, the optimum current angle is obtained by online utilization of iterative techniques. However, these techniques result in increased burden on the processor. In addition, accuracy of the generated current commands and hence the drive efficiency may significantly reduce if the number of iterations is not adequate. More importantly, online zero divisions issue may result in instability of the drive system at certain operating points in real life experiments. This paper proposes an efficiency optimized IPM drive with smooth output torque production addressing the aforementioned issues. The optimum operating points as a function of electromagnetic torque demand are computed offline by Newton-Raphson approximation technique in the paper and they are stored in the controller as look-up tables which are then employed to achieve optimum efficiency operation at a wide range. The superiority of the proposed drive is validated through extensive simulation of a 4.1 kW prototype IPM machine designed and manufactured for traction applications and the results are discussed in detail. The paper also presents detailed high efficiency control analysis of permanent magnet machines and hence it would be quite insightful for new researchers on the topic.

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Section: Proposed High Efficiency Controlled Drive System Setupmentioning

confidence: 99%

“…Search algorithms are employed in [8][9][10][11][12] to achieve high efficiency operation in the constant torque region.…”

Section: Introductionmentioning

confidence: 99%

Analysis and simulation of efficiency optimized IPM drives in constant torque region with reduced computational burden

Koç¹,

Emiroğlu²,

Tamyürek³

2021

Turkish Journal of Electrical Engineering and Computer Sciences

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“…In this method, the motor itself is referred to as the reference model, while the adjustable model uses the stator current equations. The stator current equations of the IPMSM are written as Equations (23) and (24): (23) and (24), ( * , ′ ) represents the quantities of reference and adaptive model, respectively.…”

Section: Mrac-based Speed Estimationmentioning

confidence: 99%

Transient and steady‐state study of a speed sensorless IPMSM drive with an advanced integrator‐based stator flux estimator

Sharma

Bhattacharya

Ahmed

2021

IET Power Electronics

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In this paper, an advanced integrator is proposed for the estimation of stator flux in a direct torque control (DTC) drive. A two-level lookup table-based direct torque-controlled interior permanent magnet synchronous motor (IPMSM) drive is implemented. DTC has the inherent disadvantage of DC drift and saturation in stator flux estimation due to a pure integrator. In the proposed work, a different approach to estimate stator flux is reported overcoming the constraints of a pure integrator in DTC. An advanced integrator with an adaptive controller is implemented to determine the stator flux and enrich the performance of the drive. A comparison of transient and steady-state analysis is carried out when IPMSM is fed by a low-pass filter-based DTC and proposed stator flux estimatorbased DTC. To make the system mechanically robust, stator current-based model reference adaptive control is executed to estimate the motor speed. A mathematical derivation for the stability study of the adaptation mechanism is carried out using Popov's hyperstability criteria. The proposed algorithm is implemented in the MATLAB/Simulink environment and the soundness of the proposed work is presented by simulation results. Moreover, the experimental analysis using dSPACE1104 justifies the simulation results of the proposed system.

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“…There are several MTPA techniques available in literature, but they can be categorised in two classes, namely the online and offline techniques. The former often requires the adoption of disrupting and continuous signal injection [13], [14] or the use of searching algorithms [15]. The latter are based on offline measurements whose results are stored into look-up tables [16], [17] or implemented for MTPA operation with the aid of polynomial functions [18].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Maximum Torque per Ampere Control of Synchronous Reluctance Motors by Radial Basis Function Networks

Ortombina

Tinazzi

Zigliotto

2019

IEEE J. Emerg. Sel. Topics Power Electron.

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As neodymium and other rare earth materials become a critical commodity, the exploitation of reluctance torque in synchronous motors is certainly an interesting option. Alternative motor topologies span from internal permanent magnet motors to pure reluctance machines. Anyway, any anisotropic structure suffers of some magnetic nonlinearity that call for more sophisticated models to get an efficient torque control. Neural network based algorithms are good candidates for modelling the current-to-flux linkages curves of synchronous reluctance motors, but so far their use was limited by the inherent complexity and the computational burden. This paper proposes the use of a special kind of neural networks, namely, the radial basis function networks, to get the magnetic model of any synchronous motor, including saturation and cross-coupling effects. Through experimental evidence, it will be shown that the structure is light enough to be implemented, trained and self-updated online on standard high-end ac drives. The model is used to track online the maximum torque-per-ampere working point of a synchronous reluctance motor drive.

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Robust self-tuning MTPA algorithm for IPMSM drives

Cited by 61 publications

References 6 publications

Analysis and simulation of efficiency optimized IPM drives in constant torque region with reduced computational burden

Analysis and simulation of efficiency optimized IPM drives in constant torque region with reduced computational burden

Transient and steady‐state study of a speed sensorless IPMSM drive with an advanced integrator‐based stator flux estimator

Adaptive Maximum Torque per Ampere Control of Synchronous Reluctance Motors by Radial Basis Function Networks

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