A speed and current cascade Continuous Control Set Model Predictive Control architecture for synchronous motor drives

Carlet, Paolo Gherardo; Toso, Francesco; Favato, Andrea; Bolognani, Silverio

doi:10.1109/ecce.2019.8912277

Cited by 18 publications

(7 citation statements)

References 14 publications

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“…However, being the MPC solution obtained analytically considering a linear plant, external constraints cannot be added to the controller. In [45], [46], the case of MPC speed control for synchronous motor drive is studied. Also in this case, an unconstrained implementation of MPC, with the addition of integral terms in the cost function to compensate bias errors and external disturbances is considered.…”

Section: Model Predictive Speed Controlmentioning

confidence: 99%

Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies

Rodríguez

Garcia

Mora

et al. 2022

IEEE Trans. Power Electron.

244

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Section: Model Predictive Speed Controlmentioning

confidence: 99%

Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies

Rodríguez

Garcia

Mora

et al. 2022

IEEE Trans. Power Electron.

244

View full text Add to dashboard Cite

show abstract

“…When the combination of voltage vector is u 1 and u 0 ; u 2 and u 7 , formulas (5) and (6) are used to calculate the duty cycle of u 1 and u 2 . e cost function values corresponding to the above three voltage vector combinations are sorted and the optimal voltage vector combination is obtained.…”

Section: Mpcc With Reduced Computation Burden IImentioning

confidence: 99%

“…According to the different input control strategies of PMSM, it can be roughly divided into two categories [4]: continuous and discrete. e typical representatives of continuous input control strategies are vector control (VC) and continuous control set model predictive control (CCS-MPC) [5,6]. is input control strategy is more prominent in robustness, stability, or adaptability.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Current Control Strategy with Reduced Computation Burden

Yuan

Wen

Zhang

2021

Mathematical Problems in Engineering

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In this paper, three model predictive current control (MPCC) schemes for permanent magnet synchronous motors (PMSM) are studied. The first control scheme is the traditional optimal duty cycle model predictive current control (ODC-MPCC). In this scheme, according to the principle of minimizing the cost function, the optimal voltage vector is selected from the six basic voltage vectors which are optimized simultaneously with the duty, and then, the optimal voltage vector and its duty are applied to the inverter. In order to reduce the computational burden of ODC-MPCC, a second control scheme is proposed. This scheme optimizes the voltage vector control set, reducing the number of candidate voltage vectors from 6 to 2. Finally, according to the principle of minimizing the cost function, the optimal voltage vector is found from the two voltage vectors, and the optimal voltage vector and its duty cycle are applied to the inverter. In addition, in order to further improve the steady-state performance, another vector selection method is introduced. In the combination of voltage vectors, the third control scheme extends the combination of voltage vectors in the second control scheme. The simulation results show that the second control scheme not only reduces the computational burden of the first control scheme but also obtains steady-state performance and dynamic performance equivalent to the first control scheme. The third control scheme obtains better steady-state performance without significantly increasing the computational burden and has dynamic performance comparable to the first and second control schemes.

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“…Using MPC it is not necessary to linearize the equations of the machine, to design linear controllers and to use Pulse Width Modulation (PWM) [17]- [21]. Several works have been published, related to the use of MPC in electrical drives [22]- [27].…”

Section: Introductionmentioning

confidence: 99%

Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods

Rodríguez

Garcia

Mora

et al. 2022

IEEE Trans. Power Electron.

176

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A speed and current cascade Continuous Control Set Model Predictive Control architecture for synchronous motor drives

Cited by 18 publications

References 14 publications

Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies

Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies

Model Predictive Current Control Strategy with Reduced Computation Burden

Latest Advances of Model Predictive Control in Electrical Drives—Part II: Applications and Benchmarking With Classical Control Methods

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