Real-Time Implementation for Improvement of Weighting Coefficient Selection using Weighted Sum Method for Predictive Torque Control of PMSM Drive

Vujji, Avinash; Dahiya, Ratna

doi:10.1007/s13369-022-07430-z

Cited by 6 publications

(12 citation statements)

References 24 publications

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“…The optimization process will indeed be time-consuming if a trial-and-error approach is used, such as using simulations or experimentation to assess the MPC performance under various WF arrangements [15]. As a result, several approaches to solving this issue have been suggested [16][17][18][19][20][21][22]. Both offline [16][17][18][19] and online optimization [20][21][22] apply to these solutions.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, several approaches to solving this issue have been suggested [16][17][18][19][20][21][22]. Both offline [16][17][18][19] and online optimization [20][21][22] apply to these solutions. The offline approach primarily aims to simplify the difficulty of setting WF by splitting the CF dimension.…”

Section: Introductionmentioning

confidence: 99%

“…In [18], WF is eliminated to achieve the switching state quickly for a multilevel inverter based MPC. CF optimization is achieved by the weighted sum method for PMSM in [19] but suffers from the additional computational burden. In the general predictive control, a CARIMA model is developed relying on transfer functions utilized [8,23].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Experimental verification for cost function optimization using TOPSIS approach for predictive control of surface mounted PMSM

Vujji

Gupta²,

Dahiya

et al. 2023

IET Power Electronics

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In this article, the selection of weight factor (WF) is improved using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) based cost function (CF) optimization for predictive control in surface mounted permanent magnet synchronous motor (PMSM) drive under different conditions. Basically, the empirical approach used for WF is instinctive and consumes excess time. TOPSIS approach chooses a control action that is closest to the ideal control action's positive solution and farthest from its ideal control action's negative solution. Prioritizing control variables in the CF assures the choice of the best control action throughout each sampling duration. Additionally, predefined switching instants are employed for the CF optimization depending on past optimal control action, reducing the computing duration of the suggested technique. dSPACE controller is used for real-time execution of traditional and proposed methods under steady and dynamic states. In order to verify the worth of predictive control based on TOP-SIS, the hardware responses were compared with traditional DTC and predictive control strategies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental verification for cost function optimization using TOPSIS approach for predictive control of surface mounted PMSM

Vujji

Gupta²,

Dahiya

et al. 2023

IET Power Electronics

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“…The control variables of FCS-MPDTC operated PMSM drive are predicted using finite element analysis in [31], where mismatch in machine model is obviated. In [32][33][34], FCS-MPDTC is executed to suppress torque ripples. The main issues related to FCS-MPDTC are weighting factor adjustment, computational complexity and less robustness.…”

Section: Introductionmentioning

confidence: 99%

“…In this regard, [32] adopted "Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)" to optimize the weighting factor in cost-function of FCS-MPDTC. In [33], the choice of weighting factor is improved by "weighted sum method (WSM)". In [34], weighting factor is eliminated, and the VV related to minimum cross error between flux and torque is selected for FCS-MPDTC operation of motor drive.…”

Section: Introductionmentioning

confidence: 99%

Development of enhanced direct torque control for surface‐mounted permanent magnet synchronous motor drive operation

Meesala

Udumula

Nizami

et al. 2023

IET Power Electronics

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Direct torque control (DTC) is one of the most prominent control techniques used by permanent magnet synchronous motor (PMSM) drives in industry applications. Nevertheless, the presence of hysteresis controllers and inaccurate voltage switching table in traditional DTC results in higher torque and flux ripple. This study proposes an enhanced DTC functioned Surface‐mounted PMSM (S‐PMSM) drive with mitigation of torque and flux ripple. The operation relies on generating the reference voltage vector (VV) in a stationary reference frame, which supports control of torque and flux without hysteresis controllers. The reference VV generation is simple and does not affect control robustness. The position of reference VV in a sector is used to build the voltage vector (VV) switching table. As a result, the application of nearest discrete VV to reference VV produces optimal torque and flux control. Moreover, redundant switching combinations of null VV are effectively used for possible minimization of switching frequency of two‐level voltage source inverter (VSI) supplied S‐PMSM drive. Therefore, proposed DTC gains improved S‐PMSM drive response along with switching frequency reduction. In dSPACE‐RTI 1104 platform, experimental response of S‐PMSM drive under various operating conditions have been depicted to highlight the proficiency of proposed DTC in comparison with existing DTC.

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Simple predictive torque control of an open‐end winding interior permanent magnet synchronous motor drive without weighting factor for electric vehicle applications

Kumar

2023

Circuit Theory & Apps

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Permanent magnet synchronous motor (PMSM) drives are effectively used in the application of electric vehicles (EVs) due to their ease of construction and simpler in operation. Model predictive control (MPC) is an efficient control strategy used in motion control applications. Predictive torque control (PTC) is a type of MPC that selects a suitable voltage vector (VV) from a set of 19 VVs in order to minimize the cost function. However, as the control variables in the cost function in PTC are distinct, a weighting factor is essential. The tuning of the weighting factor is a burdensome control process. To address the limitations, the proposed PTC (P‐PTC) removes the weighting factor by using two cost functions, thus reducing flux ripples and torque ripples. Firstly, the P‐PTC evaluates the torque cost function for 19 VVs, and the VV that gives less value of torque error is used to find the sector number. The sector number is used to choose the five VVs from that sector and evaluate flux cost function to get an optimal VV. Therefore, the P‐PTC give less ripples in torque and flux by enhancing steady‐state response. The effectiveness of the P‐PTC is validated through both simulation and experimentation for a 3.7 kW OEW‐IPMSM drive using d‐SPACE RTI1104 controller. The P‐PTC is also tested with a typical urban dynamometer drive cycle (UDDC) with rapid accelerations and decelerations to ensure its application in EVs using the OPAL RT 1250 controller.

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Real-Time Implementation for Improvement of Weighting Coefficient Selection using Weighted Sum Method for Predictive Torque Control of PMSM Drive

Cited by 6 publications

References 24 publications

Experimental verification for cost function optimization using TOPSIS approach for predictive control of surface mounted PMSM

Experimental verification for cost function optimization using TOPSIS approach for predictive control of surface mounted PMSM

Development of enhanced direct torque control for surface‐mounted permanent magnet synchronous motor drive operation

Simple predictive torque control of an open‐end winding interior permanent magnet synchronous motor drive without weighting factor for electric vehicle applications

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