scholarly journals Design and Development of Experimental Based Phase Modulated Model Predictive Control for Torque Ripple Reduction of MMC Fed BLDC Motor

2021 ◽  
Author(s):  
Rahul Jaiswal ◽  
◽  
Anshul Agarwal ◽  
Richa Negi ◽  
Abhishek Vikram ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Torque Ripple ◽  
Current Control ◽  
Experimental Result ◽  
Control Technique ◽  
Switching Frequency ◽  
Bldc Motor ◽  
Brushless Dc

This article represents the torque ripple performance of modular multilevel converter (MMC) fed brushless dc (BLDC) motor using different current control technique. For reducing the ripple current in BLDC motor, a phase-modulated model predictive control (PMMPC) technique has been proposed. The stator ripple current is almost negligible using PMMPC. This PMMPC current control method is a significant minimization of torque ripple in BLDC motor. A comparative torque ripple behaviour of MMC fed BLDC motor has been done using phase-modulated model predictive control, model predictive control (MPC) and proportional integral (PI) control at different switching frequency. It has been observed that a PMMPC current control technique is more efficient as compared to the MPC as well as PI current control technique. It has also been observed that the torque ripple performance is improved while using PMMPC as compared to the MPC and PI controller. Simulation results have been verified with the help of experimental result and these results are obtained in good agreement to the simulated results.

scholarly journals An Improved Model Predictive Control Method to Drive an Induction Motor Fed by Three-Level Diode-Clamped Indirect Matrix Converter

2020 ◽  
Vol 10 (4) ◽  
pp. 265-279
Author(s):  
Arman Farhadi ◽  
Amir Akbari ◽  
Ali Zakerian ◽  
Mohammad Tavakoli Bina
Keyword(s):  
Model Predictive Control ◽  
Induction Motor ◽  
Predictive Control ◽  
Control Method ◽  
Torque Ripple ◽  
Matrix Converter ◽  
Switching Frequency ◽  
Motor Current ◽  
Supply Current ◽  
Improved Model

In this paper, an improved model predictive control method is proposed to drive an induction motor fed by a three-level matrix converter. The main objective of this paper is to present a novel method to increase the switching frequency at a constant sampling time. Also, it is analytically discussed that increasing the switching frequency not only can decrease the motor current ripples, but it can also significantly reduce its torque ripples. Finally, this study demonstrates that reducing the motor current ripple will improve the quality of the supply current. To be the accurate model and validate the motor drive system, a co-simulation method, which is a combination of FLUX and MATLAB software packages, is employed to find the simulation results. The findings indicate that the proposed method diminishes the THD of the supply current up to 26% approximately. Furthermore, increasing the switching frequency results in the torque ripple reduction by up to 10% almost.

scholarly journals Model Predictive Control Method of Torque Ripple Reduction for BLDC Motor

2020 ◽  
Vol 56 (1) ◽  
pp. 1-6
Author(s):  
Kun Xia ◽  
Yanhong Ye ◽  
Jiawen Ni ◽  
Yiming Wang ◽  
Po Xu
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Method ◽  
Torque Ripple ◽  
Bldc Motor ◽  
Torque Ripple Reduction ◽  
Ripple Reduction

Reduction of Cogging Torque by Adapting Bifurcated Stator Slots and Minimization Of Harmonics And Torque Ripple in Brushless DC Motor

2016 ◽  
Vol 7 (3) ◽  
pp. 781
Author(s):  
M. Arun Noyal Doss ◽  
K. Mohanraj ◽  
V. Kalyanasundaram ◽  
K. Karthik
Keyword(s):  
Control Method ◽  
Optimal Solution ◽  
Active Surface ◽  
Torque Ripple ◽  
Experimental Result ◽  
Active Surface Area ◽  
Bldc Motor ◽  
Element Analysis ◽  
Cogging Torque ◽  
Brushless Dc

This paper proposes an improved methodology to minimize the cogging torque, harmonics and torque ripples in Brushless DC (BLDC) motor. The cogging torque is reduced by designing the BLDC motor with bifurcated active surface area using Finite Element Analysis (FEA). The harmonics and torque ripple is minimized using PI and Fuzzy controllers. These controllers are analyzed to bring out an optimal solution. The effectiveness and flexibility of the individual techniques of proposed control method is verified through simulations [Matlab Simulink]. The experimental result is shown only for fuzzy control because fuzzy is better comparing the performance of PI controllers.

scholarly journals Circulating Current Suppression Strategy of Modular Multilevel Converter Based on Model Predictive Control

2021 ◽  
Vol 261 ◽  
pp. 01035
Author(s):  
kang Liu ◽  
Guige Gao
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
Control Method ◽  
Current Control ◽  
Switching Frequency ◽  
Modular Multilevel Converter ◽  
Multilevel Converter ◽  
Modulation Wave ◽  
Circulating Current

Modular Multilevel Converter (MMC) has the characteristics of high voltage level and low switching frequency. The traditional modular multilevel converter circulating current control strategy mostly adopts the PI control principle, and the parameter setting is complicated and the accuracy is not high, and the control process is more difficult. Model predictive control strategy is the optimal control method based on the model in the existing time domain. This paper proposes a Model Predictive Control (MPC) method based on carrier phase-shifted pulse width modulation (PSC-PWM) to suppress the circulating current, and output the optimal modulation wave through model prediction. Compared with the traditional control strategy, this strategy is simple to implement, does not require complex tuning calculations, and combines with the traditional capacitor voltage equalization strategy to obtain the output modulation wave. A 7-level MMC simulation control system is built in MATLAB / SIMLINK to verify the theory, comparing with existing control methods, it can be concluded that the proposed method has high calculation efficiency, good control accuracy and strong robustness.

scholarly journals A Control Method for IPMSM Based on Active Disturbance Rejection Control and Model Predictive Control

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 760
Author(s):  
Fang Liu ◽  
Haotian Li ◽  
Ling Liu ◽  
Runmin Zou ◽  
Kangzhi Liu
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Duty Cycle ◽  
Control Strategy ◽  
Disturbance Rejection ◽  
Torque Ripple ◽  
Current Control ◽  
Active Disturbance Rejection Control ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

In this paper, the speed tracking problem of the interior permanent magnet synchronous motor (IPMSM) of an electric vehicle is studied. A cascade speed control strategy based on active disturbance rejection control (ADRC) and a current control strategy based on improved duty cycle finite control set model predictive control (FCSMPC) are proposed, both of which can reduce torque ripple and current ripple as well as the computational burden. First of all, in the linearization process, some nonlinear terms are added into the control signal for voltage compensation, which can reduce the order of the prediction model. Then, the dq-axis currents are selected by maximum torque per ampere (MTPA). Six virtual vectors are employed to FCSMPC, and a novel way to calculate the duty cycle is adopted. Finally, the simulation results show the validity and superiority of the proposed method.

scholarly journals Current Prediction-Based Three-Vector Voltage Optimization System for the Induction Motor with Current Static Error Correction

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Haixia ◽  
Lin Jican
Keyword(s):  
Steady State ◽  
Model Predictive Control ◽  
Induction Motor ◽  
Predictive Control ◽  
Control Method ◽  
Tracking Error ◽  
Current Control ◽  
Static Error ◽  
Control Stability ◽  
Steady State Performance

In the present study, the current control method of the model predictive control is applied to the field-oriented control induction motor. The augmentation model of the motor is initially established based on the stator current equation, which performs the current predictive control and formulates the new cost function by means of tracking error. Then, the influence of parameter error on the current control stability in the prediction model is analysed, and the current static error is corrected according to the correlation between the input and feedback. Finally, a simple and effective three-vector control strategy is proposed. Moreover, three adjacent basic voltage vectors are utilized, and then six candidate voltage vectors are synthesized in each sector to replace eight basic voltage vectors in the conventional model predictive control (MPC). The obtained results show that synthesized vectors, which have arbitrary amplitude and direction, significantly expand the coverage of the system’s control set, reduce the torque and flux pulsation in the conventional MPC, and improve the steady-state performance of the system. Finally, the dSPACE platform is employed to validate the performed experiment. It is concluded that the proposed method can reduce the torque and flux pulse, perform the induction motor current control, and improve the steady-state performance of the system.

scholarly journals Solar PV fed non-isolated DC-DC converter for BLDC motor drive with speed control

2019 ◽  
Vol 13 (1) ◽  
pp. 313
Author(s):  
G. G RajaSekhar ◽  
Basavaraja Banakar
Keyword(s):  
Control Method ◽  
Speed Control ◽  
Current Control ◽  
Operating Conditions ◽  
Switching Frequency ◽  
Bldc Motor ◽  
Solar Pv ◽  
Pv System ◽  
High Switching Frequency ◽  
Interleaved Boost Converter

<p>Brushless DC motors (BLDC) are predominantly used these days due to its meritorious advantages over conventional motors. The paper presents PV fed BLDC speeds control system. A closed-loop interleaved boost converter increases the voltage from PV system to required level. Converter for BLDC operates at fundamental switching frequency which reduces losses due to high switching frequency. Internal current control method is developed and employed for the speed control of PV fed BLDC motor by sensing the actual speed feedback. Internal current controlled PV fed BLDC drive is analyzed with increamental speed with fixed torque and decreamental speed with fixed torque operating conditions. Also the system with speed control is verified for variable torque condition. The system is developed and results are developed using MATLAB/SIMULINK software.</p><p><em> </em></p>

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