自適應(yīng)內(nèi)聯(lián)EESM無位置傳感器控制
發(fā)布時間:2018-11-23 19:55
【摘要】:針對電勵磁同步電機(EESM)的轉(zhuǎn)子位置角辨識問題,提出了一種非線性的自適應(yīng)內(nèi)聯(lián)觀測器轉(zhuǎn)子位置辨識方法。首先建立電勵磁同步電機的擴展模型,然后對其進行分離設(shè)計,得到兩個相互關(guān)聯(lián)的子系統(tǒng),并分別設(shè)計了兩個子系統(tǒng)的反饋增益,構(gòu)成自適應(yīng)內(nèi)聯(lián)觀測器,最后運用李雅普諾夫穩(wěn)定性定理證明了所提方法的穩(wěn)定性。該方法能夠根據(jù)測量的電壓和電流信號,辨識得到電機的速度、位置角以及q軸電感等信息;并將辨識信息反饋回控制回路以進一步優(yōu)化電機的控制性能。仿真結(jié)果表明,該方法能夠在電動和發(fā)電狀態(tài)下實現(xiàn)寬轉(zhuǎn)速范圍內(nèi)穩(wěn)定運行,而且q軸電感的辨識值能夠快速準確地跟隨真實值,實驗結(jié)果進一步驗證了所提方法的有效性。
[Abstract]:A nonlinear adaptive inline observer rotor position identification method is proposed to identify the rotor position angle of electroexcitation synchronous motor (EESM). Firstly, the extended model of the electroexcitation synchronous motor is established, then the two interrelated subsystems are designed separately, and the feedback gain of the two subsystems is designed respectively to form an adaptive inline observer. Finally, the stability of the proposed method is proved by using Lyapunov stability theorem. According to the measured voltage and current signals, the method can identify the speed, position angle and Q axis inductance of the motor, and feedback the identification information back to the control loop to further optimize the control performance of the motor. The simulation results show that the proposed method can run stably in the state of electric and power generation and the identification value of the q-axis inductor can follow the real value quickly and accurately. The experimental results further verify the effectiveness of the proposed method.
【作者單位】: 中南大學(xué)信息科學(xué)與工程學(xué)院;中車株洲電力機車研究所有限公司;
【基金】:國家自然科學(xué)基金項目資助(61473314,61403425,61321003)
【分類號】:TM341
,
本文編號:2352542
[Abstract]:A nonlinear adaptive inline observer rotor position identification method is proposed to identify the rotor position angle of electroexcitation synchronous motor (EESM). Firstly, the extended model of the electroexcitation synchronous motor is established, then the two interrelated subsystems are designed separately, and the feedback gain of the two subsystems is designed respectively to form an adaptive inline observer. Finally, the stability of the proposed method is proved by using Lyapunov stability theorem. According to the measured voltage and current signals, the method can identify the speed, position angle and Q axis inductance of the motor, and feedback the identification information back to the control loop to further optimize the control performance of the motor. The simulation results show that the proposed method can run stably in the state of electric and power generation and the identification value of the q-axis inductor can follow the real value quickly and accurately. The experimental results further verify the effectiveness of the proposed method.
【作者單位】: 中南大學(xué)信息科學(xué)與工程學(xué)院;中車株洲電力機車研究所有限公司;
【基金】:國家自然科學(xué)基金項目資助(61473314,61403425,61321003)
【分類號】:TM341
,
本文編號:2352542
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