Improved Performance of Permanent Magnet Synchronous Motor by Using Particle Swarm Optimization Techniques

Elwer, A.S.; Wahsh, S.

doi:10.1109/chicc.2006.4347053

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…Recently, researches are made in DTC of PMSM based on FL-type-1, FL-type-2 and artificial neural network and in controlling PMSM using the DTC strategy with PS optimization technique or by using combination of control strategies and optimization techniques like tuning PI-controller using swarm algorithm or intelligent FLC using PS optimization [10][11][12][13][14][15][16]. Nowadays, PS algorithms have become famous due to its simplicity.…”

Section: Introductionmentioning

confidence: 99%

Cuckoo Search Based DTC of PMSM

Yassin

Wahsh

Badr

2018

IJPEDS

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Hysteresis controllers (HC) are used to limit the torque and flux in the control band in conventional configuration of direct torque control (DTC) while in the space vector pulse width modulated (SVPWM) DTC, the HC are switched to PI or PID controllers. This paper presents a modern approach for the speed control applied on a DTC of a permanent magnet synchronous motor (PMSM) using the Cuckoo Search Optimization (CSO) algorithm in order to optimize the PI speed controller parameters of the outer loop and PID flux and torque controllers of the inner loop. The system is tested at no load and with a step change in load.The performance of the controllers is presented and the results of simulation indicate a very rapid dynamic response and the system achieves the steady state (SS.) in a very short time. Also it shows that both the SS. and dynamic performances are improved by applying of the CSO algorithm. The proposed DTC simulation model of the PMSM is presented using MATLAB / SIMULINK and capable of simulating both the steady-state and dynamic response. The CSO results are compared with another control strategy that incorporates fuzzy logic controller (FLC) with DTC.

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Section: Introductionmentioning

confidence: 99%

Cuckoo Search Based DTC of PMSM

Yassin

Wahsh

Badr

2018

IJPEDS

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“…Simulate the system under different operating year conditions is prepared and the experimental setup. Use PSO algorithm and optimization make a powerful engine, with faster response and higher resolution dynamic and sensitive to load variation [9].…”

Section: Introductionmentioning

confidence: 99%

Artificial Optimal Fuzzy Control Strategy for Electric Vehicle Drive System by Using Permanent Magnet Synchronous Motor

Shneen¹,

Mao²,

Wang³

2017

IJET

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Speed controls design of electric vehicle (EV). The control circuit using PSO, Fuzzy& PI controller is proposed. Driven EV's is powered by a n electric motor, the EV is powered by PMSM. Electric vehicle is simulated in MATLAB SIMULINK. Simulation tools are great assistance to engineers and researchers to reduce product-development cycle time, improve the quality of the design, and simplify the analysis without costly and time-consuming experiments. There are many power electronic converters and motor drives connected together to form the electrical system of an Electric Vehicle. In this paper, we have presented a modeling tool that has the advantages of utilizing capabilities of the PMSM software in detailed simulations of converters, motor drives, and electric machines. In addition, equivalent electrical models of Electric Vehicle drive system. This paper also gives a brief idea of PMSM validity as an Electric Vehicle simulation tool. This paper, simulation PMSM model to apply Electric Vehicle drive system. PMSM drive system is described and analyzed due to its importance in many applications especially in Electric Vehicle applications. Applications due to their high efficiency, low inertia and high torque to volume ratio. A closed loop control system with a PI control, Fuzzy and PSO in the speed loop with current controllers. The simulation circuits for PMSM, inverter, speed and current controllers include all realistic components of the drive system. Simulation results for SPWM control schemes associated with current controllers are given for two speeds, one below rated and another above rated speed. In this paper and it has been shown that the model is suitable for transient as well as steady state condition. These results also confirmed that the transient torque and current never exceed the maximum permissible value.

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“…Allaoua, et al [12] proposed the application of FL for DC motor speed control using PSO. Elwer and Wahsh [13] presented a modern approach for speed control of a PMSM using the PSO algorithm to optimize the parameters of the PI-controller. (Bingul and Karahan [14] ) controlled a 2 DOF planar robot by FL controller tuned with a PSO.…”

Section: Introductionmentioning

confidence: 99%

Autogeneration of Fuzzy Logic Rule-Base Controllers

Abdalla

Al–Jarrah

2011

AMM

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A novel Fuzzy Logic controller design methodology is presented. The method utilizes a Particle Swarm Optimization (PSO) binary search algorithm to generate the rules for the Fuzzy Logic controller rule-base stage without human experience intervention. The proposed technique is compared with the well established Lyapunov based Fuzzy Logic controller design in generating the rules. Finally, the controller’s effectiveness and performance are tested, verified and validated using an elevator control application. The novel controller’s results are to be compared with traditional Proportional Integral Derivative (PID) controller and classical Fuzzy Logic (FL) controllers.

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Improved Performance of Permanent Magnet Synchronous Motor by Using Particle Swarm Optimization Techniques

Cited by 3 publications

References 6 publications

Cuckoo Search Based DTC of PMSM

Cuckoo Search Based DTC of PMSM

Artificial Optimal Fuzzy Control Strategy for Electric Vehicle Drive System by Using Permanent Magnet Synchronous Motor

Autogeneration of Fuzzy Logic Rule-Base Controllers

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