Model predictive torque control with an extended prediction horizon for electrical drive systems

Wang, Fengxiang; Zhang, Zhenbin; Kennel, Ralph; Rodríguez, José

doi:10.1080/00207179.2014.942698

Cited by 26 publications

(14 citation statements)

References 34 publications

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“…Suitable weighting factors are used to maintain the relative importance between diverse control parameters in the cost-function [2,3]. FCS-PTC is one of the FCS-MPC techniques emerging as an effective alternative for conventional control schemes in electric drive applications and several works were reported in the literature to explore the merits and key issues of the control algorithm [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]. The implementation of FCS-PTC for induction motor drives is simple by considering torque and stator flux as control parameters.…”

Section: Introductionmentioning

confidence: 99%

Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method

Muddineni

Sandepudi

Bonala

2017

IET Electric Power Applications

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Finite control set predictive torque control (FCS-PTC) becomes popular for induction motor drives due to its simple structure and flexibility of including additional control parameters into the control law. However, primary concern of this control technique is the selection of suitable weighting factors in the cost-function. Usually, empirical method is used to select the weighting factors, which is time-consuming and heuristic process. In this study, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is introduced in the cost-function optimization to simplify the difficulties involved in the weighting factor selection. This method selects an optimal control action, which is closer to positive ideal control action and far away from negative ideal control action. This e n s u r e st h es e l e c t i o no fo p t i m a lc o n t r o la c t i o ni ne a c hs a m p l i n gp e r i o db a s e do nt h ep r i o r i t i e sg i v e nt oc o n t r o l parameters in the cost-function. Further, to reduce the computational burden of proposed technique, a predefined set of switching states are used for the cost-function optimization based on previous optimal control action. Both simulation and experimental studies are carried out for a two-level voltage source inverter fed induction motor drive. These results are compared with conventional FCS-PTC technique to highlight the merits of proposed technique.

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Section: Introductionmentioning

confidence: 99%

Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method

Muddineni

Sandepudi

Bonala

2017

IET Electric Power Applications

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“…Predictive torque control (PTC) is a kind of the FCS-MPC technique emerging as an effective alternative for DTC in high performance drive applications [9,17]. Torque and stator flux are the control parameters used in both DTC and PTC.…”

Section: Introductionmentioning

confidence: 99%

“…is possible in to the cost-function. Many contemporary researchers are working on the implementation of PTC for induction motor drives to explore the different issues and merits [10][11][12][13][17][18][19][20][21][22][23]. An optimal duty cycle control based PTC of induction motor drive was presented in [10].…”

Section: Introductionmentioning

confidence: 99%

“…Implementation of PTC for four switch inverter (B4) fed induction motor drive was analysed and discussed in [13]. A two-step prediction horizon for PTC was experimentally carried out in [17] and achieves 30% reduction in torque ripple compared with one step prediction horizon. State feedback law was derived and analysed for PTC of induction motor drive in [18].…”

Section: Introductionmentioning

confidence: 99%

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Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method

Muddineni

Bonala

Sandepudi

2016

IET Electric Power Applications

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Predictive torque control (PTC) is one of the widely used modern control techniques for induction motor drives due to its merits such as; implementation is straightforward and direct inclusion of control parameters into the costfunction is possible. However, the main drawback of this technique is the selection of appropriate weighting factor in the cost-function. In this study an attempt is made to simplify the weighting factor selection by using VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method and the cost function of PTC is modified accordingly. Usage of VIKOR method in the cost-function optimisation introduces the compromise ranking to select an optimal control action. Both simulation and experimental results are carried out for a two-level voltage source inverter fed induction motor drive with the proposed control technique and the results are compared with conventional PTC technique. These results confirm that proposed method retains the dynamic response achieved by the conventional PTC along with reduced torque ripple and switching frequency.

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“…By adopting branch and bound algorithm and by discarding some optimal sequences, the number of switching sequences is reduced. Another reduced switching selection method is proposed in [10] which reduces the torque ripple by using long prediction horizon, even though the number of calculations is still higher. There are several other techniques to reduce the number of calculations and thus to simplify the design of MPC, such as single prediction method [11], sector distribution method [11], [12], choosing a subset of adjacent vectors [13], modified switching algorithm [14], double-vector-based approach [15], and graphical algorithm [16].…”

Section: Introductionmentioning

confidence: 99%

A Simplified Finite-State Predictive Direct Torque Control for Induction Motor Drive

Habibullah

Xiao

et al. 2016

IEEE Trans. Ind. Electron.

216

113

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Abstract-Finite-state predictive torque control (FS-PTC) is computationally expensive, since it uses all voltage vectors available from a power converter for prediction and actuation. The computational burden is rapidly increased with the number of voltage vectors and objectives to be controlled. Moreover, designing a cost function with more than two control objectives is a complex task. This paper proposes a simplified algorithm based on a new direct torque control (DTC) switching table to reduce the numbers of voltage vectors to be predicted and objectives to be controlled. The new switching table also assists to reduce average switching frequency and its variation range. As a result, the cost function is simplified by not requiring to include the frequency term. Experimental results show that the average execution time and the average switching frequency for the proposed algorithm are greatly reduced without affecting the torque and flux performances achieved in the conventional FS-PTC.Index Terms-Predictive torque control, simplified algorithm, execution time, average switching frequency, Torque and flux ripple, induction motor (IM).

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Model predictive torque control with an extended prediction horizon for electrical drive systems

Cited by 26 publications

References 34 publications

Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method

Finite control set predictive torque control for induction motor drive with simplified weighting factor selection using TOPSIS method

Enhanced weighting factor selection for predictive torque control of induction motor drive based on VIKOR method

A Simplified Finite-State Predictive Direct Torque Control for Induction Motor Drive

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