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Frontiers of Electrical and Electronic Engineering

ISSN 2095-2732

ISSN 2095-2740(Online)

CN 10-1028/TM

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Frontiers of Electrical and Electronic Engineering  2012, Vol. 7 Issue (4): 477-489   https://doi.org/10.1007/s11460-012-0211-1
  RESEARCH ARTICLE 本期目录
Experimental verification of chopper fed DC series motor with ANN controller
Experimental verification of chopper fed DC series motor with ANN controller
M. MURUGANANDAM(), M. MADHESWARAN
Centre for Advanced Research, Muthayammal Engineering College, Rasipuram 637408, Tamilnadu, India
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Abstract：

In this article an artificial neural network (ANN) has been designed for the control of DC series motor through a DC chopper (DC-DC buck converter). The proportional-integral-derivative (PID)-ANN speed controller controls the motor voltage by controlling the duty cycle of the chopper thereby the motor speed is regulated. The PID-ANN controller performances are analyzed in both steady-state and dynamic operating condition with various set speeds and various load torques. The rise time, maximum overshoot, settling time, steady-state error, and speed drops are taken for comparison with conventional PID controller and existing work. The training samples for the neuron controller are acquired from the conventional PID controller. The PID-ANN controller performances are analyzed in respect of various load torques and various speeds using MATLAB simulation. Then the designed controllers were experimentally verified using an NXP 80C51 based microcontroller (P89V51RD2BN). It was found that the hybrid PID-ANN controller with DC chopper can have better control compared with conventional PID controller.
Key words： DC series motor    proportional-integral-derivative (PID) controller    artificial neural network (ANN) controller    DC chopper    speed control    MATLAB simulink
收稿日期: 2012-09-01      出版日期: 2012-12-05
Corresponding Author(s): MURUGANANDAM M.,Email:murugan_m1@yahoo.com   
 引用本文:   
. Experimental verification of chopper fed DC series motor with ANN controller[J]. Frontiers of Electrical and Electronic Engineering, 2012, 7(4): 477-489.
M. MURUGANANDAM, M. MADHESWARAN. Experimental verification of chopper fed DC series motor with ANN controller. Front Elect Electr Eng, 2012, 7(4): 477-489.
 链接本文:  
https://academic.hep.com.cn/fee/CN/10.1007/s11460-012-0211-1
https://academic.hep.com.cn/fee/CN/Y2012/V7/I4/477
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operating modeswitch positionconverter output voltageVoload currentio
motoring (Mode 1)freewheeling (Mode 2)Mode 1Mode 2
forward motoringMOSFET (Q) ONdiode (DF) ONVs0+ ve
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input datatarget data
errorchange in errorcorresponds to δ
1.0000-0.0005200020
0.8573-0.0004-19160
0.7334-0.0004-10409
0.6271-0.0003-4932
0.5356-0.0003-7337
0.4572-0.0002-6190.2
0.3898-0.0002239.08
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DC motor parametersvalue
motor ratingDC supply voltagemotor rated currentinertia constant Jdamping constant Barmature resistance Raarmature inductance Lamotor speedarmature voltage constant Kafresidual magnetism voltage constant Kres5 HP220 V18 A0.0465 kg·m20.005 N·m·s/rad1 Ω0.032 H1800 rpm0.027 H0.027 V·s/rad
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time domain specificationsset speed change from 0 to 750 rpmset speed change from 750 to 1250 rpmset speed change from 1250 to 1800 rpm
conventional PIDPID-neuro (proposed system)conventional PIDPID-neuro (proposed system)conventional PIDPID-neuro (proposed system)
max. over shoot/%8.70.315.50.194.30.15
settling time/s2.20.41.40.31.20.28
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time domain specificationsload change from 10% to 25%load change from 25% to 50%load change from 50% to 100%
conventional PIDPID-ANN (proposed System)conventional PIDPID-ANN (proposed System)conventional PIDPID-ANN (proposed System)
max. speed drop/%0.66—1.10.022.80.2
recovery time/s0.17—0.680.0041.30.035
steady-state error/rpm-15±0.5-20±0.4-36±0.3
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controllerPIDPID-ANN
simulationhardwaresimulationhardware
settling time/s0.7510.250.54
max. over shoot/%4.25no over shootno over shoot
steady-state error/rpm-15-30±0.5—
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