ѣள૱ྶᑭീᄃႾଠ̝ۡ߹ה྿నࢍᄃࡁտ
ౘྐᖳ
ᐷරࡊԫ̂ጯ፟ୠ̍ր
ၡ! ࢋ
ώࡁտ۞ࢦᕇдٺޙϲາ۞ଠט८͕ഇ୕ۡ߹ה྿ੵ˞ిޘΞአፋ నؠ̝γĂՀдᏮᖼ˵Ξͽአፋనؠ̈́ېၗႾଠΒ߁ள૱ᖼېၗĄ҃ࠎ
˞੨ЪDSP ଠטր۞ёᇤᆷĂдώኢ͛̚೩˘ᖎሒᄃѣड़த۞ள૱
ྶᑭീ͞ڱĂ˵ಶߏԧࣇͽੈཱི᎕̶פᇹ۞͞ڱ੨Ъܫཱིᙝቡᑭീᑕϡٺ྿
ᖼ៍ീጡ̝నࢍĄѩ៍ീጡనࢍߏۡତͽੈཱིপᇈᕜפࠎ൴ᕇĂϫ۞˜
ࠎՐᖎ̼̈́ࢫҲੈ̶ཱིژ̝ྤफ़நፉĂֹՀटٽٺ྿̝ᜭજଠטጡ྆
DSP ёᇤᆷ۞၁னĂ҃ਕӈॡͷቁ۞ႾଠϠய߹ͽ၅ᛇள૱ଐڶ൴ϠĄ ԧࣇͽ߹ຏീጡа̝ੈཱིĂགྷϤᖼ៍ീጡซҖ྿ྶ៍ീĂ֭၆྿
ΐˢγొ̝តજྶซҖ၁រ̶ژĄ҃д၁រඕڍ̚Ξ֍ѩᖼ៍ീጡቁਕઍ
ീྶ̝ள૱តજᕇĂ֭ਕੈཱིᗔੈᕭੵͷ˵ܲྵ̈តજྶ̝ઍീਕ
˧Ăѣр۞ԩᗔੈপّĂޢ֭ͷͽ̈گ̶ژڱរᙋĄ
ᙯᔣෟĈள૱ྶᑭീᄃႾଠăᖼ៍ീጡăੈཱི᎕̶פᇹăܫཱིᙝቡᑭീă
! ! ! ! ̈گ̶ژĄ
IMPLEMENTATION OF THE ABNORMAL LOAD DETECTION AND MONITORING FOR THE DC BRUSHLESS MOTOR
Shih-Feng Chen
Department of Mechanical Engineering Lunghwa University of Science and Technology
Taoyuan, Taiwan 333, R.O.C.
Key Words: abnormal load detection and monitoring, torque observer, signal sampling integration, signal edge detection, Wavelet analysis.
ABSTRACT
A new control strategy is implemented for abnormal load detection and monitoring of the DC brushless motor. We propose the methods of signal sampling integration combined with edge detection to approach the design of a motor torque observer for easy programming on a DSP controller. To lower the loads of computing analysis and data processing, the significantly abrupt changes are directly identified in the torque observer for the DSP programming in the motor driver. The feedback signals from the current sensor are utilized to observe normal and abnormal loads. From the experimental results, our design is shown to detect the position of changing loads and reduce noise interference. In addition, Wavelet analysis is used to verify the experimental results.
߄ጼĂЧ઼ͽـᏥͽᚮۋ۞Ҳјώˠ˧ᐹ๕̏ᖼҌ઼̚ᘀ
̂۞ˠ˧ξಞĂҭд೩̿ᚮۋ˧̚Ăੵ˞ࢫҲˠ˧јώͽ γĂтң೩Ϡயᄦౄ̝ड़தăϠய։த̈́೩̿யݡݡኳ
˵ߏ࠹༊ࢦࢋ۞ኝᗟĄЯѩĂ̳ΦЯᑕ̂ณࢎಏϠயٙᅮĂ ЧϠயᄦౄ࠰ጱˢϠயҋજ̼Ăͽ೩چயਕĂႾଠϠய
߹ͽ၅ᛇள૱ଐڶ൴Ϡಶពܧ૱ࢦࢋĂֹ̙։ݡ۞ຫ ਈјώࢫҲĂ᜕ܲˠࣶщБ̈́ڀෳ۞న౯Ăͷჯயݡ̝
ݡኳĄͽـдҋજ̼Ϡயన౯̚Ă࠰ֹϡຏീጡ̮Іͽᑭ
Ϡயᄦ̝̚ள૱ېڶ൴ϠְІĂͽ఼ۢ̍үˠࣶซҖ
ְ߇ଵੵĄّ҃ਕດр̝ҋજ̼న౯Ăຏീጡ̮Іֹϡ ດкĂҭຏീጡᆊॾڀෳĂтѩ˵ᆧΐ˞న౯јώĄдҋ જ̼న౯̚Ă྿ࠎࢋ۞જ˧̮ІĂᖣϤ྿ྶ۞៍
ീĂΞͽᑭۢϠயᄦ̚Ăߏӎѣள૱ېڶ൴ϠĂซ҃Ⴞ ଠϠய߹ߏӎึၰĂͽࢫҲຏീጡֹ̝ϡ҃ࢫҲјώĄ
྿ྶ۞៍ീ̏ѣ˘ֱࡁտĂт྿߹ณീ̝а
ֽҿᕝ྿ߏӎѣ࿅ྶன෪[1]Ąҭ͞ڱϡͽ҂ᇋ
྿ᖼਕ˧ߏӎਕજγొྶࠎҿᕝૄĂ˵ಶߏ࿅
߹᜕ܲ͞ёĂҭд྿ᒠมྶഴٕ͌ᆧΐॡĂ၆ள૱ְ
І۞ҿᕝྵ̙टٽĄΩγѣᖼ៍ീጡ(torque observer)۞
ࡁ տ Ă т Unknown Input Torque Observer ă PI-Type Closed-Loop Torque Observer ඕၹ[2,3]ĄֱࡁտజϡֽҤ
ീ ྶ ᖼ Ă ͷ Ӏ ϡ MATLAB ̝ ̈ گ ̍ (wavelet toolbox)[4]ᝥҾΐ̍፟дΐ̙̍̚ϒ૱ྶĂͽՙؠ̙ϒ
૱ྶߏӎ൴ϠĄҭࡁտΪଣ࿅̂ᓜࠧྶ̈́
ྶᕘજ̝ள૱ېڶĂٙͽᖼ៍ീጡΞਕЯ̒ᕘٕᄱम
҃ᇆᜩྶᖼ̝ҤീඕڍĄ֭ͷ˘ਠֹϡ̈گкᆸྋژ ޘ̶ژ(multi-resolution analysis)͞ڱ[4]үੈ̶ཱིژăந
̈́ᙊҾĂᔵѣ։р۞ྋژਕ˧Ăҭྤफ̶़ژࢍზ̝
நፉྵ̂Ăྵ̙टٽд྿ᜭજଠטጡ̝ᇴҜੈཱིந ጡ(DSP)˯၁னĄ
Яѩώቔኢ͛̚྿ྶ៍ീጡᑕϡੈ̶ཱིژڱ
̝நኢĂ၆྿ள૱ྶઍീਕ˧үࡁտଣĄԧࣇ೩
᎕̶פᇹ۞͞ڱ੨Ъܫཱིᙝቡᑭീనࢍ྿ྶ៍ീጡĂ
៍ീа߹̝ੈཱིϡͽ៍ീ྿ྶېڶĂ֭၆྿ΐ ˢγొ̝តજྶซҖ၁រ̶ژĄ֭ͷӀϡள૱ྶҿᕝ
͞ڱĂΞۡତҿؠ྿ߏӎѣ࿅ྶன෪ă྿ࡎ۞ΐ ഴిٕྵ̂۞ၚّྶ̝ள૱ְІ൴ϠĂтన౯ᇠ፟ଐڶ ඈĄ֭ͷϤ̈گ̶ژڱזរᙋĄѩ၁រ̚៍ീጡ̝నࢍĂ
࠰ͽֽᑕϡٺ྿ᜭજଠטጡ̝ᇴҜੈཱིநጡ(DSP)
˯ࠎ҂ณĂЯѩᖎ̼˞నࢍநኢĂֹ҃నࢍྵटٽĂ˵̂
ณഴ͌DSP ྤफ़̈́ࢍზ̝ፉĂΞۡତΐˢᜭજጡ̝ଠט ڕ̚Ăͽઍീள૱ଐڶ൴ϠĄΩγĂώቔኢ͛ͽۡ߹ה
྿րࠎࡁտ၆෪Ăࢋ੫၆̍ᇄҋજ̼న౯(тᏮਖ਼న ౯ăҋજྻྶ፟ၹඈ)дϠய࿅̚ĂଣЯన౯߇ᅪٕצ
˟ăநኢࡦഀ
̈گ(wavelet)நኢ[4]Ҍ̫̏ᇃھᑕϡдޝкᅳાĂּ
тᑕϡдੈ̶ཱིژăᑅᒺٕᏰᙊĂౌ̏ѣޝкᑕϡמ၁
ּĄιߏኑᗔ۞ܫ̶ཱིྋјк࣎ྵᖎಏ۞ܫཱིĂ˵ಶߏ ͽѣࢨྋژޘ(resolution)ֽೡҋ̝ࠧࢨྋژޘĄ҃
̈گ̶ژӈࠎӀϡкᆸྋژ۩ม(multi-resolution space)[4]
۞៍هͽ྿זੈཱིྋژ۞ϫ۞Ą҃ώ၁រֹ̚ϡ̝ Haar בᇴࠎૄᖂ̝̈گבᇴĂჍࠎ˘ล̈گבᇴĄ҃дώኢ
͛̚ԧࣇͽۡତ೩פܫཱི̝ࡎតᕇࠎܫཱི̝ࢦࢋপᇈĂѩ
͞ڱдᑕϡٺܫཱིᏰᙊᅳા̚ॡĂ၁ࠎۡତͷԣి̝
͞ڱĄЯѩ࠹ྵٺ̈گ̶ژზڱĂώኢ̝͛ٙ᎕̶פᇹ ੨Ъܫཱིᙝቡᑭീ៍هĂՀዋЪᑕϡд྿ྶ៍ീጡ
˯Ąᐹᕇߏܫཱིந̶ژྵԣిͷ˵Ξ̂ณഴ͌ྤफ़
நྻზ̝ఈĂ҃ͷᄃ̈گ˘ᇹΞͽᑭീܫཱི̝ፋវԆ ፋّ۞ត̼ېڶĄ
1. ᎕̶פᇹڱ
дѩԧࣇ೩੫၆྿̝а߹ܫཱི۞পّ҃న
ࢍ̝ܫཱིפᇹ͞ڱĄЯࠎ྿ྻᖼፆүдᖼჃಞ˭Ăٙ
ͽ྿̝߹ܫཱིࠎܕҬؽگ̝ϒϹតܫཱིĄ҃ͷ྿
ྻᖼॡĂჃಞд྿ᖼ̄ᖼ˘ฉ˭ĂѣؠᇴѨ̝
ϹតĂ˵ಶߏ྿ቢ፬ჃౄјᖼჃಞĂֹ҃྿ྻᖼĂ
ٙͽ྿̝߹Ηฉੈཱི˵࠹༊ࢦࢋĂͷ˵ԓ୕ᆧΐܫ
ཱིజפᇹ̝ᐛதĂֹਕՀӈॡ۞ઍീܫཱི̝ត̼ĄЯѩĂ ࠎ˞೩פܫཱི̝Ҳᐛপᇈͷ˫υืܲѣܫཱིፋវّ̝ត̼
ੈि̝ېڶ҂ณĂืࢵАܫཱིү၆ࣃநĄ
ޢ၆ࣃந̝ܫཱིͽؠฉഇүפᇹĂтё(1)
ٙϯĂ
( )
t dtt i
∫t+1 (1)
Яࠎѩܫཱིפᇹ̝͞ڱᄃܫཱི᎕̶ѣᙯĂٙͽԧࣇჍ
̝ࠎ᎕̶פᇹڱĄ᎕̶פᇹڱ࠻ֽညลܲጡĂҭ
၁ѣೀᕇमளĈ(˘)᎕̶פᇹڱЯͽડ߱᎕̶ٙͽΞܲ
ࣧੈཱི̰̝ࢦࢋੈिć(˟)ഴ͌ྤफ़நณć(ˬ)᎕̶פᇹ ڱ̙ົЯੈཱིᐛதត̼҃யϠפᇹᄱमĂౄјᄱҿć(α) פᇹॡมΞአቑಛ̂Ą
Ω˘͞ࢬĂ᎕̶ޢ̝ဦԛΞܕҬܫཱི၏ѡቢĄࡶ
פᇹॡมܜൺĂֶᏰᙊྋژޘࢋՐ҃አፋॡĂಶΞ៍ീੈ
ཱིྋژ̈́ྋژ̝ፋវត̼ېڶĂ੨Ъͽ˭̝ٙࡎត পᇈᕇᑭീॡĂᑕϡдྶ៍ീጡ˯ĂಶΞТॡ៍ീ
྿ᘦၗྶณ̈́ྶᇶၗ̝ᒠॡតજณĄ҃ͷĂЯࠎѩ͞
ڱߏͽ᎕̶͞ёפᇹĂٙͽ˵ѣٯԩܫཱིᗔੈ̝ड़ڍĄ
f(t)
(a)
(b)
(c)
ဦ1 בᇴ f(t)̈́̈گᖼೱ̶ژ
2. ܫཱིᙝቡᑭീ
ܫཱི۞ᆐតᕇߏᏰᙊܫཱིࢦࢋ۞পᇈĂт፟ୠన౯ ߇ᅪăள૱ېڶᑭീඈĂౌߏͽܫཱི۞ᆐតᕇүᑭീĄд ѩԧࣇͽтңീ྿߹ܫཱི̚ᆐត۞পᇈᕇ൴Ϡ۞Ҝ ཉ̈́؈ளّ۞યᗟĂϡֽଣۡ߹ה྿ள૱ྶ۞ઍ
ീĄ
˘ ਠ к ᇴ ᙝ ቡᑭ ീ ߏ д ̙ Т۞ ͎ ޘ ˯ А ᎐Ѝ ࣧ ܫ
ཱིĂ̝ޢГϤܫཱི۞˘ลጱᇴٕ˟ลጱᇴᑭീࣧܫཱི۞
ᆐតᕇ[5,6]Ąтဦ 1(a)ܫཱིͽҲ఼בᇴઇπநĂ҃
ဦ1(b)ᄃဦ 1(c)ࠎܫཱི f(t)ઇπޢГפ˘ลጱᇴᄃ˟ลጱ ᇴ۞ඕڍĄ҃ဦ1 ܑٙϯ۞ܫཱིந͞ڱӈࠎ̈گבᇴĂ
̚༊̈گבᇴΞ࠻јߙ˘πבᇴ۞˘ลጱᇴĂܫཱི̈
گតೱ۞Ԋొໂࣃᕇ၆ᑕٺܫཱི۞ࡎតᕇ(ٕᙝቡ)Ă҃༊
̈گבᇴΞ࠻јߙ̙πבᇴ۞˟ลጱᇴॡĂܫཱི̝̈گ តೱ۞࿅ᕇĂ˵၆ᑕٺܫཱི۞ࡎតᕇ(ٕᙝቡ)ĄЯѩֹ
ϡᑭീ̈گតೱ۞࿅ᕇԊొໂࣃᕇ۞͞ڱਕૉᑭീܫ
ཱི۞ᙝቡҜཉĄ
ҭԧࣇ˞ྋࡶͽۡତ೩פܫཱི̝ࡎតᕇࠎܫཱི̝ࢦ
ࢋপᇈĂֽᑕϡٺܫཱིᏰᙊᅳા̚ॡĂࠎۡତͷԣి
̝͞ڱĄЯѩ࠹ྵٺ̈گ̶ژზڱĂՀዋЪᑕϡд
྿ྶ៍ീጡ˯Ąᐹᕇߏܫཱིந̶ژྵԣిͷ˵Ξ
̂ณഴ͌ྤफ़நྻზ̝ఈĂҭᕇಶߏ̙टٽᑭീ
ܫཱི̝ፋវԆፋّ۞ត̼ېڶĄЯѩĂυื੨Ъ̝݈ԧ ࣇٙ೩۞ੈཱི᎕̶פᇹڱĂ̖ਕֹྶ៍ീጡ۞ઍീਕ
˧ՀԆፋĄ
ˬăྶ៍ീጡనࢍ
д၁ᅫ۞ҋજ̼Ϡயన౯ր̚Ă྿ࠎࢦࢋ۞જ˧
̮ІĂ˵ߏր̚ࢦࢋ۞צଠវĂېၗᇆᕏր۞Ꮾ
Ă֭ͷଂ៍ീ྿̝ྶېၗĂ˵Ξ៍ീրྻүߏӎ ѣள૱ĂͽࢫҲள૱ຫਈ̝јώĄ
ဦ2 ៍ീጡ̝߇ᅪઍീր
ဦ2 ࠎώࡁտ̝៍ീጡనࢍ̝ૄώߛၹĄۡ߹ה
྿જၗ͞ёࠎ
m m m m L
e B
dt J d T
T ω ω
+
=
− (2)
̚T ࠎྶ˧ĂL J ࠎᖼજၚณĂm B ࠎܡκܼm ᇴ Ăωm ࠎ ᖼ ̄ ፟ ୠ ֎ ి ޘ Ą ҃ ۡ ߹ ה ྿ ᖼ
I K
Te= t ĂͷK ࠎ྿ᖼ૱ᇴĄЯѩϤ྿Ⴣᖼ͞t
ёΞۢT ᄃ߹ I јϒͧĂЯѩϤ៍ീ྿̝ᜭજ߹
ېၗĂಶΞۢ྿̝ྶېၗĄٙͽѩ៍ീጡߏͽۡତ ณീ྿߹ܫཱིઇந̶ژĂ҃פېၗҤീ۞͞ёĂ Яѩ̙ืనࠎநຐրĄҭЯ྿дϒ૱۞ᘦၗྻᖼ ॡĂᖼࠎᘦؠᏮĂ҃၁ᅫᜭજ߹ࠎܕҬؽگ̝ᘦၗ
Ϲ߹ܫཱིĄЯѩࢵАࠎ˞ܮٺܫཱིפᇹ̶̈́ژĂืА
ณീ̝߹ܫཱིү၆ࣃநĄ
1. ᑕϡ᎕̶פᇹᄃᙝቡᑭീٺ྿ள૱ྶ៍ീ
ࡶ྿ࠎᘦၗྻᖼĂГͽనؠ̝ᐛத၆ࣃந ޢ۞ܫཱིү᎕̶פᇹĄԧࣇనؠ∆t=tn+1−tn =constantĂ
֭ͽё(3)ઇ᎕̶פᇹજүĄ
∫
( )
= +
+1 tnn1
n t it dt
q (3)
̚Ăi
( )
t ࠎณീ۞߹ܫཱིĂq ࠎ݈˘ѨפᇹࣃĂn+1
qn ࠎϫ݈פᇹࣃĂt ࠎ݈˘ѨפᇹॡมĂn tn+1ࠎϫ݈פ ᇹॡมĄ
тѩפᇹ͞ёߏࠎᔖҺᗔੈ̒ᕘ̈́ז྿߹ܫ
ཱི۞ᙝቡপᇈĄͷυื੨Ъనؠפᇹࣃ̝ᓜࠧࣃ͞ёĂͽ ၅ᛇ྿࿅ྶ̝ଐԛ൴ϠĂ༊פᇹࣃq ࿅నؠ̝ᓜࠧ
ࣃॡĂਖ਼࿅ྶ̝ᛋӘੈिĄᔵтѩĂҭߏдன̫
͵ࠧЧ઼ᄦౄຽࢬᓜ፬ধ۞ᚮۋĂ҃ଯજЋຽᚮۋ˧۞೩ چĂ˵ಶߏՐᐹ๕۞јώᚮۋ˧̈́யݡݡኳĂдѩଐ ڶ˭Ă่тѩ۞ր᜕֨Ăព̙֖ĂЯѩืГ੨Ъܫཱི
۞ᙝቡᑭീڱĂᑭീܫཱི۞ᆐតᕇĂͽઍീ྿Ϗ
к͎ޘᙝቡᑭീߏд̙Т۞͎ޘ˯АπࣧܫཱིĂ̝ޢГ Ϥܫཱི۞˘ลጱᇴٕ˟ลጱᇴᑭീࣧܫཱི۞ᆐតᕇĄЯ ѩԧࣇٙ೩פ˘ลጱᇴ۞៍هĂଯᇃٺ྿ྶ៍ീጡ
̝నࢍ˯Ąٺߏ੫၆྿дᘦၗྻᖼ˭̝߹ੈཱིপّĂ ͷࠎ˞੨ЪֽᇴҜੈཱིநጡ۞ᑕϡĂٙͽѩ៍ീጡ నࢍଳͽᗓੈཱིந͞ёĄЯѩԧࣇ೩ᑕϡٺᗓܫ
ཱི̝ᆐតᕇઍീ͞ёĂ˵ӈߏ̙үܫཱི۞πநĂ҃ۡ
ତ੨Ъ݈̝᎕̶פᇹ͞ڱĂפᇹࣃפ˘ลጱᇴԛёĂ
זಏҜפᇹॡม̝פᇹࣃ̝मࣃe ĂٺߏΞזྵᖎٽ
̝ԛёĂ͞ётё(4)ٙϯĄ
t q e qn n
∆
= +1− (4)
̚∆ ࠎؠפᇹॡมĂe ࠎಏҜפᇹॡม̝ϫ݈פt ᇹࣃᄃ݈˘Ѩפᇹࣃ̝តณĄ҃ͷe ࣃ̝ໂ̂ࣃᕇߏ၆ᑕ ٺܫཱིត̼ԣ۞ᕇҜཉĂໂ̈ࣃ۞ᕇ၆ᑕٺត̼
ၙ۞ᕇҜཉĄ
2. ள૱ྶҿᕝఢ
ࡶ྿ࠎᘦؠྻᖼள૱ॡĂё(4)̝ e ࣃυᔌܕٺ
Ă˵ಶߏϫ݈פᇹࣃົତܕ݈˘ѨפᇹࣃĄΩγࡶ
≠0
e ĂܑϯྶѣតજĄ҃ͷϤe ࣃ۞ត̼̈́ q ࣃ۞ត
̼Ξ៍ീྶតજ۞̂̈̈́ిதĂͽҿᕝրனң
̙ϒ૱ېڶĄనؠ྿̝̂टధྶ̝פᇹࣃࠎ qmaxĂ҃྿̂टధၚّྶ̝ಏҜפᇹॡมפᇹࣃ̝
मࣃemaxĂ̚ੵ˞༊e <emaxͷqn+1<qmaxॡࠎΞटధ
۞ྶតજ̝γĂԧࣇؠཌྷ˞߇ᅪҿᕝт˭Ĉ (˘) ࡶqn+1>qnĂ(e>0)Ăͷ༊e<emaxĂqn+1≥qmaxॡĂ
ҿؠࠎన౯ፆү̏࿅̂टధྶ̝̙ϒ૱ଐ ڶĄ
(˟) ࡶqn+1>qnĂ(e>0)Ăͷ༊e≥emaxĂ҃qn+1<qmax ॡĂҿؠࠎన౯צז࿅̂टధၚّྶ̝̙ϒ
૱ଐڶĄ
(ˬ) ࡶqn+1>qnĂ(e>0)Ăͷ༊e≥emaẍ́qn+1≥qmaxॡĂ
ҿؠన౯ፆү̏࿅̂टధྶͷಏҜפᇹॡม
̝ྶតજޝ̂Ăӈߏ൴Ϡᇠ̝̙፟ϒ૱ଐڶĄ (α) ࡶqn+1<qnĂ(e<0)Ăͷ༊e≥emaxॡĂࠎᒠॡ
ྶࢫҲ̝ଐڶĂҿؠన౯፟ၹצזͅШ࿅̂ट ధၚّྶ̝̙ϒ૱ଐڶĄ
(̣) ࡶe≠0ॡĂͷ༊ాᜈனкѨe ࣃϒ̝តજॡĂ˵
ӈߏྶ̙ᘦؠĂҿؠࠎన౯ྻᖼ̙ึၰ̝̙ϒ૱
ଐڶٕ൴ϠϠயүຽ̙։۞Ι፟ள૱ېڶĄ
ҭߏֶన౯۞ֹϡېڶ̈́ࢋՐ̙ТĂѣֱณ۞ྶ
តજߏజ̯ధ۞ĄЯѩГ੨Ъనؠemaxࣃ۞ᓜࠧࣃĂֶࢋ
ဦ3(a) ၁រన౯
ဦ3(b) ၁រրߛၹဦ
Ր۞ېڶ҃አፋనؠĂ༊e ࣃ࿅ᓜࠧࣃॡĂГϤҿᕝ
ҿؠߏӎࠎள૱ېڶĂࡶ൴Ϡள૱ېڶॡĂਖ਼ᛋӘ ܫिҌଠטጡཉͷ఼ۢˠࣶઇ߇ᅪଵੵநĂͽࢫҲຫ εĄϤٺ៍ീጡΞפᇹॡมܜൺĂֶᏰᙊྋژޘࢋՐ҃
አፋĂЯѩΞࣘ៍ീੈཱིྋژ̈́ྋژ̝ፋវត̼ې ڶ̝ਕ˧Ă֭ͷΞТॡ៍ീ྿̝ᘦၗྶ̈́ᇶၗྶ̝
ᒠॡតજณĄ
αă၁រඕڍ
ѩ၁រሀᑢϠயҋજ̼న౯дᘦؠྻᖼ̚Ăࡶ൴Ϡள
૱ྶॡĂᑕϡٙనࢍ۞྿ྶ៍ീጡĂགྷϤ྿а
߹ੈཱི۞៍ീĂͽઍീள૱ྶ۞൴ϠĂͽ֨ͤ̍ү ˠࣶ൴Ϡຍγăన౯ຫᗼ̈́ࢫҲϠய̙։̝ຫεĄ၁រ˵
ᑕϡ MATLAB ̝̈گ̍ઇੈ̶ཱིژĂ֭ள૱ྶ
̶̝ژඕڍᄃ៍ീጡள૱ྶઍീ̝ඕڍүͧྵĂͽរᙋ ѩ៍ീጡਕૉ྿זቁઍീள૱ྶ൴Ϡ۞ϫ۞Ą
1. ၁រన౯
ώ྿ଠט၁រన౯ᄃրߛၹтဦ3(a)ăဦ 3(b)ٙ
ϯĄд၁រր̚ĂᏴϡߍࡊԫ۵Њѣࢨ̳ΦٙϠய̝
ۡ߹ה྿̈́ᜭજጡࠎ၁រϡ̝྿ĂᏮΑதࠎ
3.5
3
2.5
2
1.5
1
0.5
0 2 4 6 8 10 12 14 16 18 20
Time (sec) TL (kg-cm)
ဦ4 д 500rpm ˭̝ˬᕇ̒ᕘតજྶᏮˢT L
Decomposition at level 4: s = a4+d4+d3+d2+d1 0.4
0.2 0 -0.2
0.2 0 -0.2
0.1 0 -0.1
0.1 0 -0.1
0.1 0 -0.1 0.2
0
-0.2 2 4 6 8 10 12 14 16 18 20
Time (sec) S
a4
d4
d3
d2
d1
ဦ5 д 500rpm ˭צˬᕇ̒ᕘតજྶ̝̈گ̍ੈཱི
̶ژඕڍ
75W ͽ̈́ᗝؠᖼిࠎ 3000rpmĄΩγͽָࡊԫ۵Њѣࢨ
̳Φ HD-510-7N ԛё̝જ˧ࢍࠎγΐតજྶሀᑢ̈́ి
ޘ ณ ീ ̝ న ౯ Ą ͷ ֹ ϡ ࡚ થ ᇊ 㝭 ᆇ ጡ ̳ Φ(national instruments)̝ྤफ़ᕜפΙĄ҃ፋ࣎၁រրͽ࣎ˠཝࠎ ଠטጡĂགྷϤ྿ଠטΙᏮଠט΄Ҍᜭજጡ҃ᜭજ
྿ྻᖼĂཝд྿ୁજྻᖼᘦؠޢĂ˵Ꮾγΐតજ
ྶ΄Ҍજ˧ࢍĂͽሀᑢγొ̝តજྶĂͷͽཝࠎ
៍ീጡĂઍീߏӎѣ̙ϒ૱ྶ۞൴ϠĄ
2. ၁រඕڍ
၁រߏሀᑢ྿ٺҋજ̼న౯̝Ꮾਖ਼፟ၹ̚Ăͽ̙Т
۞ؠᖼిᘦؠྻᖼĂ֭ͽજ˧ࢍሀᑢ̙Тԛё̝γ˧ྶ
90 80 70 60 50 40 30 20 10
0 2 4 6 8 10 12 14 16 18 20
Time (sec)
q (Volt)
ဦ6 д 500rpm ˭צˬᕇ̒ᕘតજྶ̝᎕̶פᇹઍീ
ඕڍ
30 20 10 0 -10 -20 -30 -40
-502 4 6 8 10 12 14 16 18 20 22 Time (sec)
q (Volt)
ဦ7 д 500rpm ˭צˬᕇ̒ᕘតજྶ̝ᆐតᕇઍീඕڍ
ېڶĂͷϤᜭજጡ̝߹ຏീጡа߹ੈཱིĂ߹ੈ
ཱི ̝ ᕜ פ ॡ ม ࠎ(1/1000)sec Ą д ྿ ୁ જ ޢ Ă Т ॡ ͽ MATLAB ̝̈گ̍ซҖੈ̶ཱིژĂͽ Haar ̈گүαᆸ
۞ྋژޘ̶ژĂઍീள૱ྶ۞൴ϠĄ҃ͷ˵ͽ៍ീጡซ Җྶ៍ീĂ᎕̶פᇹॡมมࠎ 0.5secĂЧ၁រඕ ڍᄃኢт˭Ĉ
(˘) ؠᖼిଠט(500rpm)̝ྶ៍ീĈ
྿ͽؠి500rpm ྻᖼĂͷͽ 1kgcm ࠎϒ૱ྶᖼ
Ă֭ሀᑢᏮਖ਼న౯дྻᖼॡĂٚצγొˬᕇ̒ᕘត જྶT ̝ள૱ྶ൴ϠېڶĂтဦ 4 ٙϯĄͽL MATLAB ̝̈گ̍ซҖੈ̶ཱིژĂтဦ 5 ٙϯĂд ဦ̝̚ s ࠎࣧؕੈཱིĂͷ a4 ࠎҲᐛྋژੈཱིĂ҃
d1~d4 ࠎ ᐛ ྋ ژ ੈ ཱི Ă ࣧ ؕ ੈ ཱི ܑ ϯ ࠎ s=a4+d4+d3+d2+d1Ą֭ͽ៍ീጡઍീள૱ྶ۞൴ ϠĂဦ6 ٙϯࠎ߹ຏീጡณീᏮ۞ᑅੈཱི̝᎕
̶פᇹඕڍĂ҃ဦ7 ٙϯࠎפᆐតᕇ̝ઍീඕڍĄ (˟) ؠᖼిଠט(1000rpm)̝ྶ៍ീĈ
྿ͽؠి1000rpm ྻᖼĂͷͽ 1kgcm ࠎϒ૱ྶᖼ
Ă֭ሀᑢᏮਖ਼న౯дྻᖼॡĂٚצγొкᕇ̒ᕘត જྶT ̝ள૱ྶ൴ϠېڶĄͽ MATLAB ̝̈گ L
0.1 0.05 0 -0.05 0.1 0 -0.1 0.05 0 -0.05
0.1 0 -0.1 0.2 0 -0.2
2 4 6 8 10 12 14 16 18 20
Time (sec) a4
d4
d3
d2
d1
ဦ8 д 1000rpm ˭צкᕇ̒ᕘតજྶ̝̈گ̍ੈཱི
̶ژඕڍ
45 40 35 30 25 20 15 10 5
00 2 4 6 8 10 12 14 16 18 20
Time (sec)
q (Volt)
ဦ9 д 1000rpm ˭צкᕇ̒ᕘតજྶ̝᎕̶פᇹઍീ
ඕڍ
̍ซҖੈ̶ཱིژĂтဦ8 ٙϯĄ֭ͽ៍ീጡઍീள
૱ྶ۞൴ϠĂဦ9 ٙϯࠎ߹ຏീጡณീᏮ۞
ᑅੈཱི̝᎕̶פᇹඕڍĂ҃ဦ10 ٙϯࠎפᆐតᕇ̝ઍ
ീඕڍĄ
(ˬ) ؠᖼిଠט(3000rpm)̝ྶ៍ീĈ
྿ͽؠి3000rpm ྻᖼĂͷͽ 1kgcm ࠎϒ૱ྶᖼ
Ă֭ሀᑢᏮਖ਼న౯дྻᖼॡĂٚצᕇ̒ᕘតજ
ྶT ̝ள૱ྶېڶ൴ϠĄͽ MATLAB ̝̈گ̍L ซҖੈ̶ཱིژĂтဦ11 ٙϯĄဦ 12 ٙϯࠎགྷ៍ീጡ ઍീٙ߹ຏീጡณീᏮ۞ᑅੈཱི̝᎕̶פᇹ ඕڍĂ҃ဦ13 ٙϯࠎפᆐតᕇ̝ઍീඕڍĄ
0
-5
-10
-15
-20
0 2 4 6 8 10 12 14 16 18 20
Time (sec)
e (volt)
ဦ10 д 1000rpm ˭צкᕇ̒ᕘតજྶ̝ᆐតᕇઍീ
ඕڍ
Decomposition at level 4: s = a4+d4+d3+d2+d1 0.4
0.2 0 -0.2 -0.4 0.1 0.05 0 -0.05 0.05 0 -0.05
0.2 0 -0.2
0.2 0 -0.2
0.2 0 -0.2
2 4 6 8 10 12 14 16 18 20
Time (sec) S
a4
d4
d3
d2
d1
ဦ11 д 3000rpm ˭צᕇ̒ᕘតજྶ̝̈گ̍ੈ
̶ཱིژඕڍ
3. ඕڍኢ
Ϥͽ˯ඕڍΞ࠻Ăдᖼి500rpmĂ1000rpm ̈́ 3000 rpm ˭۞၁រ̚Ăͽѩనࢍ̝៍ീጡү྿ྶ۞៍ീĂ Ϥଳϡ᎕̶פᇹ̝ඕڍΞ࠻྿ྶࡎតᕇ۞ॡมҜ ཉĂ֭ͷ˵Ξീྶ۞̂̈Ąᖣͽઍീ྿ٕన౯ߏӎ
̏࿅टధྶĂٙͽѩ៍ീጡ˵ਕѣड़۞ઍീྶ۞
ࡎតᕇĂ֭ͽ̈گ̶ژڱ̶ژ̝ඕڍזҤĄ҃ͷϤ᎕
̶פᇹ̝ඕڍ̚Ă˵Ξזੈཱི̝၏পᇈĄ
100 90 80 70 60 50 40 30 20 10
00 2 4 6 8 10 12 14 16 18 20
Time (sec)
q (volt)
ဦ12 д 3000rpm ˭צᕇ̒ᕘតજྶ̝᎕̶פᇹઍ
ീඕڍ
30
20
10
0
-10
-20
-30
-40
-500 2 4 6 8 10 12 14 16 18 20
Time (sec)
e (volt)
ဦ13 д 3000rpm ˭צᕇតજྶ̝ᆐតᕇઍീඕڍ
ΩγĂ៍ീጡᑕϡ˘ลጱᇴ۞៍هĂซҖྶ៍ീĂ Ξזੈཱི̝ໂࣃĄϤඕڍΞ࠻ĂֹϡԊొໂࣃᕇ۞͞
ڱਕૉᑭീੈཱི۞ᙝቡٕࡎតᕇҜཉĄ҃Հࢦࢋ۞ᐹ
ّߏᖼᕇߊ၆ᑕ˘ลጱᇴ۞ໂࣃᕇĂࡶe ࣃ̂Ăߏ၆ ᑕٺྶត̼ԣ۞ҜཉĂ҃e ࣃ̈˵၆ᑕٺត̼ྵၙ۞ᕇ ҜཉĂࡶe ࣃࠎϒࣃĂྶࠎᆧΐĂ̝ͅĂࡶ e ࣃࣃĂ
ྶࠎഴ̈Ăᖣͽઍീ྿ٕన౯ߏӎ̏࿅टధၚ
ّྶĄϤ၁រ̚ΞۢĂགྷϤྶតજ۞៍ീĂ˵Ξมତ
៍ീ྿ᖼి̝តજېڶĂٕధΞ೩ֻ྿ᖼిଠטֹ
ϡĂ྿זᐹ۞ଠטপّĄ
̣ăඕ ኢ
ֹϡ̈گ̶ژڱࠎੈཱིந̍Ă၆ੈ̶ཱིژ۞ྋژ ޘ̈́ࢦޙّౌߏ࠹༊ᐹս۞Ăͷֹϡ Haar ̈گүੈ̶ཱི
ژĂ˵ਕૉჟቁઍീੈཱི̝ࡎតᕇĄ҃ώኢ͛ͽ᎕̶פ ᇹڱ̈́к͎ޘᙝቡઍീڱ̝៍هĂᑕϡд྿ྶ៍ീጡ
˯Ą˘͞ࢬĂᖣϤ៍ീጡઍീ྿ள૱ְІ۞൴ϠĂֹ
྿ѣՀૻ۞᜕ܲΑਕĄΩγ˘͞ࢬĂѩҿᕝ͞ڱ˵ྵ̈گ நኢՀटٽΐˢд྿ଠטڕ̝ᇴҜੈཱིநጡ˯Ą၆ٺ ώࡁտԧࣇѣͽ˭ೀᕇඕኢĈ
1. ᎕̶פᇹڱ̈́ᙝቡઍീ̝៍هĂᑕϡд྿ྶ៍ീ
ጡ˯ߏវΞҖ۞Ă֭ͷਕࡎពੈཱི̝ࡎតᕇĂՀዋЪ
ֹϡд྿ள૱ྶ៍ീ˯Ą
2. ֹϡѩ៍ീጡТॡΞઍീ྿ᘦၗྶ̈́ၚّྶ̝
ள૱ېڶ۞൴ϠĄ
3. ֹϡ᎕̶פᇹڱ̈́ᙝቡઍീ̝៍هĂᑕϡд྿ྶ៍
ീጡ˯ĂϺΞઍീᗔੈ̒ᕘĂ҃ᔖҺள૱ྶ៍ീॡ۞
ᄱҿְІ൴ϠĄ
៍ീጡ̝ੈཱིפᇹॡมܜൺĂ၆ٺઍീள૱ېڶ̝ͅ
ᑕॡม̈́ីୂޘົѣᇆᜩĂ၆ٺ៍ീጡ۞నࢍΞГଂѩ
எˢଣĂֹ៍ീጡ၆ٺள૱ྶઍീਕՀჟቁĄΩγϤ ၁រ̚ΞۢĂᖣϤ៍ീጡ̝ྶតજ៍ീĂТॡ˵Ξ៍ീ
྿ᖼిតજېڶĂЯѩϏֽΞͽᖣϤѩੈཱི៍ീĂᑕϡ ٺ྿ిޘଠט˯Ă೩̿྿ిޘଠטّ̝ਕĄЯѩតᐛ ጡΞͽдᜭજጡ˯ۡତనؠྻᖼ୧Іּтᖼిᄃᖼͽ̈́
ႾଠېၗྤੈពϯΒ߁ள૱ېၗĄ
ણ҂͛ᚥ
1. ᔨ̥ˠĂהۡ߹જ፟۞߹פᇹĂ፟Ăௐˬ
˩˘סĂௐ˟ഇĂௐ51-59 ࢱ(1998)Ą
2. Tseng, E. C., Cheng, M. Y., and Tsai, M. C., “Design of a PI-Type Torque Observer for Detecting Abnormal Load,”
Proceedings of the 1998 International Conference on Mechatronics Technology, Hsinchu, Taiwan, pp. 147-152 (1998).
3. Tsai, M. C., Tseng, E. C., and Cheng, M. Y., “Design of a Torque Observer for Detecting Abnormal Load,” Control Engineering Practice, Vol. 8, No. 3, pp. 259-269 (2000).
4. ಏჯၓĂࣝگܐՎĂБරࡊԫဦ३۵Њѣࢨ̳ΦĂέ ΔĂௐ1-61 ࢱ(2000)Ą
5. ೆϜරĂ̈گតೱᄃ̍ᑕϡĂࡊጯۍۤĂΔִĂ ௐ115-118 ࢱ(1999)Ą
6. Rao, R. M., and Bopardikar, A. S., “Wavelet Transforms,”
Addison Wesley Longman Inc., NY, USA, pp. 1-50 (1998).
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