Minimization of ripples in stator current and torque of PMSM drive using advanced predictive current controller based on
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ORIGINAL ARTICLE
Minimization of ripples in stator current and torque of PMSM drive using advanced predictive current controller based on deadbeat control theory Suryakant Shukla1 · Mini Sreejeth1 · Madhusudan Singh1 Received: 11 June 2020 / Revised: 31 August 2020 / Accepted: 1 September 2020 © The Korean Institute of Power Electronics 2020
Abstract An advanced predictive current controller (APCC) based on deadbeat (DB) control theory for permanent magnet synchronous motor (PMSM) drives is proposed in this paper, where the optimum voltage vector is computed offline by solving an optimization problem. The optimum voltage vector along with a zero-voltage vector (ZVV) is applied to the motor under steady state condition to minimize ripples in the stator current. To achieve a fast dynamic response during the transient state, the voltage vector having the largest magnitude is applied for the complete duration of the control cycle. The phase of the voltage-vector is synchronized to control the components of the stator-current in a DB manner. In previously reported control methods, the two best voltage vectors (BVVs) are selected through enumeration and two independent duty ratios are calculated. However, this increases the computation complexity and computational time. The proposed APCC employs a novel approach in calculating the stator current references of PMSM using maximum torque per ampere (MTPA) control. The effectiveness of the proposed APCC is investigated and compared with some recently reported predictive current controllers. The APCC improves the performance of PMSM drive under steady and transient operation with lower total harmonics distortion (THD) of the stator current and better torque dynamics. Keywords PMSM · APCC · DB control · MTPA · MATLAB/Simulink
1 Introduction Field oriented control (FOC) is one of the most popular control algorithms for improving the dynamic performance of PMSM drives [1, 2]. FOC with proportional and integral (PI) controllers are widely used in industrial applications of PMSM drives due to low ripples in the stator flux and torque and low stator current THD. The use of a PI controller results in a few limitations. (i) A slow dynamic response, since the inner controller regulates the motor currents [3]. (ii) The gains of the PI controller affect the performance of the drive. (iii) The nonlinear effects of the motor and drive system must be neglected for precise tuning of the PI controller gains. (iv) The optimal tuning of PI controllers is time consuming. * Suryakant Shukla [email protected] 1
Department of Electrical Engineering, Delhi Technological University, Delhi, India
To overcome these disadvantages, recent research on AC drives has focused on various controllers like the sliding mode controller (SMC) [4–6], model reference adaptive system (MRAS) [7], indirect FOC [8–10], etc. Model predictive controllers (MPCs) [11–16], are one of the most popular controllers among them. In MPC, a mathematical model of the motor is developed to predict the performanc
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