Computationally Efficient Deadbeat Direct Torque Control Considering Speed Dynamics for a Surface-Mounted PMSM Drive

Rehman, Abd Ur; Basit, Bilal Abdul; Choi, Han Ho; Jung, Jin‐Woo

doi:10.1109/tmech.2021.3140077

Cited by 12 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 3. Depicts a typical DTC system design [21]. In DTC systems, a PWM comparator replaces the current controller, and the motor characteristics, with the exception of stator resistance, are not employed.…”

Section: Direct Torque Controlmentioning

confidence: 99%

Improved Direct Torque Control Utilizing Model Predictive Control Approach for Permanent Magnet Synchronous Motor

2024

IJSER

View full text Add to dashboard Cite

Permanent magnet synchronous motors (PMSM) are extensively utilized in aerospace industry, transportation, shipping industry, etc., due to their advantages of unpretentious structure, great power density, great efficiency and great torque current ratio. Model predictive control (MPC) has huge potential to be applied in PMSM drives with stable running and high efficiency. In (MPC-DTC), the cost function contains of torque and flux magnitude errors, and they are different in component and greatness. Thus, a suitable weight factor is essential to equilibrium the control execution between torque and flux. The traditional method showed the torque wave by (17.5%) and the torque wave was reduced in the improved method to (2.25%).

show abstract

Section: Direct Torque Controlmentioning

confidence: 99%

Improved Direct Torque Control Utilizing Model Predictive Control Approach for Permanent Magnet Synchronous Motor

2024

IJSER

View full text Add to dashboard Cite

show abstract

“…Ants pick their next city based on the pheromone concentration of each route as they go across the countryside. ants pick their transfer routes according to the transfer probability between adjacent ant colonies [21], [22]. As soon as one round of circulation is complete, ants release a little amount of pheromone throughout the paths.…”

Section: Ant Colony Optimization That Been Adjustment 321 the Fundame...mentioning

confidence: 99%

Enhancement of motor speed identification using artificial neural networks

Salih

Mahmood

Ali

et al. 2022

IJEECS

View full text Add to dashboard Cite

In this study have been utilized a modified version of ant colony optimization to improve the thresholds of neural networks and weights by including therank-weight approach. Furthermore, this technique easily overcome the drawbacks speed up convergence into the minimum while training the backpropagation neural network. The improved ant colony optimization-backpropagation neural.not only has the capacity to map extensively, but it also enhances operating efficiency noticeably, according to the simulation findings. The simulation results revealed that the speed sensor replaced with the ant colony optimization rw-optimized back propagation neural network-speed identification and motor’s speed determined using this approach the result is satisfactory.

show abstract

“…A PMSM control system with strong anti-interference ability and low parameter dependence is a performance indicator for achieving high-performance electric drive systems. At present, there are methods such as field oriented control (FOC) [8,9], model predictive control (MPC) [10,11,12,13], and direct torque control (DTC) [14,15,16,17] to achieve high-performance control of PMSMs. Among them, the MPC can replace vector control of the current inner loop, solving the problem of high parameter dependence.…”

Section: Introductionmentioning

confidence: 99%

A cascaded linear active disturbance rejection control-based multi-stage model predictive control for permanent magnet synchronous motor

Zhu,

Ni,

Sun

et al. 2024

IEICE Electron. Express

View full text Add to dashboard Cite

A cascaded linear active disturbance rejection control multistage model predictive control (CasLADRC-MSMPC) method is proposed to provide faster speed and current response, as well as stronger disturbance suppression ability for permanent magnet synchronous motor (PMSM) systems. Firstly, based on the analysis of the discrete mathematical model of PMSM, a multi-stage finite set MPC algorithm is proposed. Secondly, the control performance of the traditional LADRC (TLADRC) algorithm and cascaded LADRC algorithm is analyzed, which provides an excellent controller for the MSMPC algorithm. The MSMPC algorithm is then subjected to the cascaded LADRC algorithm in order to enhance the overall control system's performance and anti-interference capability. Finally, experimental analysis is conducted on the TLADRC-MPC strategy, CasLADRC-MPC strategy, and CasLADRC-MSMPC strategy. The experimental results show that the proposed algorithm has better current tracking ability and stronger anti-interference ability.

show abstract

Computationally Efficient Deadbeat Direct Torque Control Considering Speed Dynamics for a Surface-Mounted PMSM Drive

Cited by 12 publications

References 45 publications

Improved Direct Torque Control Utilizing Model Predictive Control Approach for Permanent Magnet Synchronous Motor

Improved Direct Torque Control Utilizing Model Predictive Control Approach for Permanent Magnet Synchronous Motor

Enhancement of motor speed identification using artificial neural networks

A cascaded linear active disturbance rejection control-based multi-stage model predictive control for permanent magnet synchronous motor

Contact Info

Product

Resources

About