Cuckoo Search Based DTC of PMSM

Abstract

<p>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.</p><p>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.</p><p> </p>

Performance analysis of single-phase interior permanent magnet synchronous motor

“…Performance analysis of single-phase interior permanent magnet … (Benjamin Olabisi Akinloye) 813 [9]. From mid-20 th century, various methods were developed for both steady, and dynamic state analysis of permanent magnet synchronous motor [8]- [10]. These methods were mostly designed for polyphase permanent magnet synchronous motor and few papers focused on the single-phase counterpart of this motor.…”

Grey wolf optimizer algorithm based real time implementation of PIDDTC and FDTC of PMSM

“…There are many control strategies applied with PMSMs which affects the performance of their drives. One of these is DTC [1,2] which is recently advised as a high-performance control strategy for these drives [3,4]. Nowadays, researchers and specialists have amazing developments on so many control-theories and techniques [1][2][3][4][5][6][7][8][9].…”

“…Meta-heuristic techniques mimic the natural swarms' behaviours; where there are many behaviour-techniques have been formulated. No need for mathematical model and simplicity are intelligent-controllers' core merits that are appropriate for dealing with electrical machines' nonlinearity and uncertainty [2,13]. Simulation of the swarms of birds, insects, and animals is considered a new development technique.…”

“…Lately, fuzzy logic (FL) strategy as an intelligent control (IC) technique has been used with the electrical machine controllers [2], [19].…”