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This paper proposes the modern approach using Particle Swarm Optimization (PSO) algorithm in determining the ideal value of Proportional Integral (PI) gain for current controller of Permanent Magnet Synchronous Motor (PMSM). Controlling the torque of PMSM and optimizing the PI-gain are the main objectives of this project. The PI controller is emplo...
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Context 1
... of the stator current is subjected on the projections that change time and speed into two axes called d-q coordinate that incorporate the flux, voltage, mechanical movement and torque. Figure 2 shows the equivalent circuit of PMSM in the d-q axes. Torque and flux variables can be derived in the equations as shown: ...
Context 2
... shows that the speed achieved it referenced speed tremendously faster by using PSO method compared to the manually tuned method. Figure 11 shows the electromagnetic torque ripple and Figure 12 shows the zoom in view of electromagnetic ripple. It can be seen that the torque ripple has been reduced drastically. ...
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In this paper, based on the combination of particle swarm optimization (PSO) algorithm and neural network (NN), a new adaptive speed control method for a permanent magnet synchronous motor (PMSM) is proposed. Firstly, PSO algorithm is adopted to get the best set of weights of neural network controller (NNC) for accelerating the convergent speed and...
Citations
... Permanent Magnet Synchronous Motors (PMSM) are increasingly widely used in civil and industrial applications because of their high efficiency, high power density, low maintenance cost, and lower permanent magnet price. The vector control method's popularity, including Field Oriented Control (FOC) [1][2][3][4][5][6] and Direct Torque Control (DTC) [7][8][9][10], stems from its advantages of simplicity in the control structure, ease of operation, reliability, and high efficiency [11,12]. ...
The paper proposes a new speed control method to improve control quality and expand the Permanent Magnet Synchronous Motors speed range. The Permanent Magnet Synchronous Motors (PMSM) speed range enlarging is based on the newly proposed power control principle between two voltage sources instead of winding current control as the conventional Field Oriented Control method. The power management between the inverter and PMSM motor allows the Flux-Weakening obstacle to be overcome entirely, leading to a significant extension of the motor speed to a constant power range. Based on motor power control, a new control method is proposed and allows for efficiently reducing current and torque ripple caused by the imbalance between the power supply of the inverter and the power required through the desired stator current. The proposed method permits for not only an enhanced PMSM speed range, but also a robust stability in PMSM speed control. The simulation results have demonstrated the efficiency and stability of the proposed control method.
... The Modified PSO technique overcome the demerits of PSO technique [24], it improve the convergence rate and prevent the prematurely condition. When each group is divided, the group which has maximum population at the center is preferred. ...
p>This work proposes an optimization algorithm to control speed of a permanent magnet synchronous motor (PMSM) during starting and speed reversal of motor, as well as during load disturbance conditions. The objective is to minimize the integral absolute control error of the PMSM shaft speed to achieve fast and accurate speed response under load disturbance and speed reversal conditions. The maximum overshoot, peak time, settling time and rise time of the motor is also minimized to obtain efficient transient speed response. Optimum speed control of PMSM is obtained with the aid of a PID speed controller. Modified Particle Swarm Optimization (MPSO) and Ant Colony Optimization (ACO) techniques has been employed for tuning of the PID speed controller, to determine its gain coefficients (proportional, integral and derivative). Simulation results demonstrate that with use of MPSO and ACO techniques improved control performance of PMSM can be achieved in comparison to the classical Ziegler-Nichols (Z-N) method of PID tuning.</p
... The Modified PSO technique overcome the demerits of PSO technique [24], it improve the convergence rate and prevent the prematurely condition. When each group is divided, the group which has maximum population at the center is preferred. ...
This work proposes an optimization algorithm to control speed of a permanent magnet synchronous motor (PMSM) during starting and speed reversal of motor, as well as during load disturbance conditions. The objective is to minimize the integral absolute control error of the PMSM shaft speed to achieve fast and accurate speed response under load disturbance and speed reversal conditions. The maximum overshoot, peak time, settling time and rise time of the motor is also minimized to obtain efficient transient speed response. Optimum speed control of PMSM is obtained with the aid of a PID speed controller. Modified Particle Swarm Optimization (MPSO) and Ant Colony Optimization (ACO) techniques has been employed for tuning of the PID speed controller, to determine its gain coefficients (proportional, integral and derivative). Simulation results demonstrate that with use of MPSO and ACO techniques improved control performance of PMSM can be achieved in comparison to the classical Ziegler-Nichols (Z-N) method of PID tuning. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
... The Modified PSO technique overcome the demerits of PSO technique [24], it improve the convergence rate and prevent the prematurely condition. When each group is divided, the group which has maximum population at the center is preferred. ...
In this paper, the configuration characteristic of shunt active power filter (APF) with split capacitor is analyzed, as well as its principle diagram and control module. In order to improve the dynamic performance of a control system and to eliminate multi-repetitive errors (MRE), a combination strategy based on dual-repetitive controller (DRC) and PI controller is presented. One repetitive controller is for ensuring the current tracking accuracy and the other one is for enhancing dynamic response. And for purpose of eliminating the system delay brought by the inverter and special control, an improved predictive compensation method is proposed by using the pre-compensated angel. Using this composite control strategy to carry on industrial prototype simulation and field test, the experimental result shows that system compensation could effectively reduce the total harmonic distortion (THD) values from 26.02%, 26.94% and 26.27% to 4.20%, 4.59% and 4.35% for each phase of the current. And the full response time are all less than 10ms, fully meeting the standard of IEEE-519. © 2012 Institute of Advanced Engineering and Science. All rights reserved.
This paper proposes an advanced flux-weakening control method to enlarge the speed range of interior permanent magnet synchronous motor (IPMSM). In the deep flux weakening (FW) region, the flux linkage decreases as the motor speed increases, increasing instability. Classic control methods will be unstable when operating in this area when changing load torque or reference speed is required. The paper proposes a hybrid control method to eliminate instability caused by voltage limit violation and improve the reference velocity-tracking efficiency when combining two classic control methods. Besides, the effective zone of IPMSM in the FW is analyzed and applied to enhance stability and efficiency following reference velocity. Simulation results demonstrate the strength and effectiveness of the proposed method.
A Permanent Magnet Synchronous Motor (PMSM) is dominantly used in applications like electric vehicles, rolling mills, and servo drives. In order to efficiently run PMSM in drive applications, it needs a control strategy. A Proportional-Integral-Derivative (PID) controller is widely used in control loops to perform the automation process. The PID parameters can be tuned using optimization techniques to get a better performance. Upon advancement in computing techniques, it has become simpler to employ complex algorithms for control applications. One such stochastic optimization algorithm is Ant Lion Optimization (ALO). Its performance has been proven against a few other established algorithms of the same kind for a particular set of test functions. In this article, ALO is used to tune a PID controller for speed control of PMSM. The effectiveness of the optimizer is verified with simulation and experimental results.
