感應(yīng)電機(jī)定子磁鏈與轉(zhuǎn)速的神經(jīng)網(wǎng)絡(luò)逆解耦方法中國電氣傳動(dòng)

1、最新 精品 Word 歡迎下載 可修改感應(yīng)電機(jī)定子磁鏈與轉(zhuǎn)速的神經(jīng)網(wǎng)絡(luò)逆解耦方法王新 戴先中東南大學(xué)摘要：為了提高感應(yīng)電機(jī)的抗參數(shù)變化及負(fù)載擾動(dòng)能力，提出了一種新的電流控制型感應(yīng)電機(jī)神經(jīng)網(wǎng)絡(luò)逆控制結(jié)構(gòu)。神經(jīng)網(wǎng)絡(luò)逆系統(tǒng)實(shí)現(xiàn)了感應(yīng)電機(jī)系統(tǒng)定子磁鏈和轉(zhuǎn)速的自適應(yīng)解耦及線性化，將感應(yīng)電機(jī)解耦線性化為定子磁鏈和轉(zhuǎn)速兩個(gè)一階積分環(huán)節(jié)的子系統(tǒng)，子系統(tǒng)不含有感應(yīng)電機(jī)參數(shù)，從而簡化了外環(huán)控制器設(shè)計(jì)，提高了整個(gè)控制系統(tǒng)性能。最后，對由電流滯環(huán)控制器

2、，逆變器及三相靜止坐標(biāo)系下感應(yīng)電機(jī)模型組成的系統(tǒng)進(jìn)行仿真研究，與定子磁場定向的仿真對比結(jié)果表明該控制結(jié)構(gòu)性能有更強(qiáng)的魯棒性。關(guān)鍵詞：定子磁鏈 神經(jīng)網(wǎng)絡(luò)逆系統(tǒng) 自適應(yīng)解耦及線性化 感應(yīng)電機(jī) 魯棒性ANN Inverse Decouple Method of Induction Motor Controlling Stator Flux and SpeedWang Xin Dai XianzhongAbstract：In this pa

3、per, a new ANN inverse control structure of current-fed induction motor is proposed to improve the ability of objecting parameters variation and load disturbance. The designed ANN inverse system can implement the adaptiv

4、e decoupling between the stator flux and speed and linearization of induction motor, the induction motor was decoupled to two 1st order integrators subsystems which do not include motor parameters, which make the design

5、of outer loop controller easy and further improve whole system performance. At last, taking the system consisting of current hysteresis controller, inverter and induction motor model in three phases stationary reference

6、frame as controlled plant, the study of simulation is done. The comparison simulation result to SFOC shows that the control method is more robust.Keywords：stator flux ANN inverse system adaptive decoupling and linear

7、ization induction motor robustness動(dòng)，與輸入量無關(guān)。由式(1)、式(2)可以求得(0) 0 2 21 1 1 2 ( ) f y L h , x x ? ? ? x u(1) 11 11 1 2 2 1 2 2 21 2( )2 ( )fs s s sy L h ,x R u x R u x u x ux x? ??? ? ? ? ??x u(0) 02 2 3 ( ) f y L h , x ?

8、? x u(1) 12 2 2 1 1 21 ( ) [ ( ) ] f p l y L h , n u x u x T J ? ? ? ? x u由于及0 (0) ( ) 0,( 1,2; 1,2)f i ij jL h y j i u u? ? ? ? ? ? ? ?x,u1 2(1) 2 2 2 21 2 1 22 12 2( )1 1s sijp px R x Ry x x x xun x n x J J? ? ? ? ? ?

9、? ? ? ? ? ? ? ? ? ?? ? ?? ?A x從而有 ，即當(dāng) 時(shí)，A(x)非奇異，即 2 22 1 s p1 2 )] ( det[ x x R n J x A ? ? ? 0 2 s2 s ? ? ? ? Ψ Ψrank[A(x)]=2 等于系統(tǒng)的輸出維數(shù)，系統(tǒng)的相對階為α={1 1}，并可知系統(tǒng)可逆，故感應(yīng)電 機(jī)模型可由解析逆系統(tǒng)來實(shí)現(xiàn)解耦及線性化。根據(jù)隱函數(shù)定理，可解得解析逆控制律表達(dá) 式為（3）? ? ? ???

10、? ? ???? ? ?? ? ? ?? ? ?? ? ? ? ?] ) 2 2 () ( 2 [ ) ( 21] ) 2 2 () ( 2 [ ) ( 212 s 1 s 1 12 22 11 l 2 s 2 22 1 s21 s 1 s 1 12 22 12 l 2 sp2 22 1 s1x u x u x v x xx T Jv R n x x R ux u x u x v x xx T Jv R n x x R up? ?? ?

11、3 電流控制型感應(yīng)電機(jī)神經(jīng)網(wǎng)絡(luò)逆控制系統(tǒng)3.1 感應(yīng)電機(jī)神經(jīng)網(wǎng)絡(luò)逆控制系統(tǒng)原理從式(3)可以看出，解析逆控制律與轉(zhuǎn)子參數(shù)和電感無關(guān)，具有較強(qiáng)魯棒性，但它受定子電阻和機(jī)械參數(shù)影響，仍然存在參數(shù)擾動(dòng)敏感問題；控制律還與定子電壓、定子磁鏈和負(fù)載轉(zhuǎn)矩等物理量有關(guān)，定子磁鏈和負(fù)載轉(zhuǎn)矩觀測存在觀測不準(zhǔn)問題，也會(huì)影響解析逆控制系統(tǒng)性能。神經(jīng)網(wǎng)絡(luò)是本質(zhì)自適應(yīng)系統(tǒng)，具有魯棒性和容錯(cuò)性，采用神經(jīng)網(wǎng)絡(luò)來代替解析逆表達(dá)式可以在一定程度上提高系統(tǒng)解耦及線性化