【摘要】：針對無軸承異步電機多變量、非線性、強耦合等特點,為實現(xiàn)其穩(wěn)定懸浮控制,提出了一種基于自適應模糊神經(jīng)網(wǎng)絡推理系統(tǒng)(adaptive neuro-fuzzy inference system,ANFIS)的控制新策略。在分析無軸承異步電機徑向懸浮力產(chǎn)生機理的基礎上,推導出無軸承異步電機數(shù)學模型,基于ANFIS控制原理,完成了控制器設計,包括控制變量和隸屬函數(shù)的選取、通過PID控制對輸入輸出數(shù)據(jù)的采集、根據(jù)選定的誤差準則修正隸屬函數(shù)參數(shù)以及采用Sugeno型ANFIS控制器訓練FIS(fuzzy inference system)模型�；贛ATLAB/Simulink仿真平臺,對轉速為6 000 r/min的無軸承異步電機控制系統(tǒng)的懸浮、轉速、轉矩響應進行了仿真分析。仿真結果表明該控制策略能在0.12 s內(nèi)實現(xiàn)轉子的穩(wěn)定懸浮,且當負載轉矩突變時,轉子的懸浮性能并沒有受到影響,轉子徑向偏移小于0.001mm。在轉速突變后,控制系統(tǒng)也能較好的跟蹤給定轉速,穩(wěn)定時的轉速誤差小于20 r/min,控制系統(tǒng)具有良好的動、靜態(tài)性能。最后在無軸承異步電機控制系統(tǒng)試驗平臺上對所提策略開展了試驗研究,試驗結果同樣表明,該控制策略能實現(xiàn)無軸承異步電機的穩(wěn)定懸浮工作,轉子徑向位移峰峰值范圍可以保持在80μm以內(nèi),系統(tǒng)響應快,魯棒性強,控制精度較高,驗證了該文提出的ANFIS控制方法的正確性和有效性。
[Abstract]:Aiming at the characteristics of multi-variable, nonlinear and strong coupling of bearingless asynchronous motor, a new control strategy based on adaptive fuzzy neural network reasoning system (adaptive neuro-fuzzy inference) is proposed to realize its stable suspension control. On the basis of analyzing the mechanism of radial suspension force of bearingless asynchronous motor, the mathematical model of bearingless asynchronous motor is deduced. Based on the control principle of ANFIS, the controller is designed, including the selection of control variable and membership function. The input and output data are collected by PID control, the membership function parameters are modified according to the selected error criterion, and the FIS (fuzzy inference system) model is trained by Sugeno ANFIS controller. Based on MATLAB/Simulink simulation platform, the suspension, speed and torque response of bearingless asynchronous motor control system with speed of 6 000 r/min are simulated and analyzed. The simulation results show that the proposed control strategy can realize the stable suspension of the rotor in 0.12 s, and when the load torque changes, the suspension performance of the rotor is not affected, and the radial deviation of the rotor is less than 0.001mm. After the speed change, the control system can track the given speed well, and the error of the speed is less than 20 r / min. The control system has good dynamic and static performance. Finally, the proposed strategy is tested on the bearingless asynchronous motor control system test platform. The experimental results also show that the control strategy can realize the stable suspension of bearingless asynchronous motor. The peak range of radial displacement of the rotor can be kept within 80 渭 m. The system has the advantages of fast response, strong robustness and high control precision. The correctness and effectiveness of the proposed ANFIS control method are verified.
【作者單位】： 江蘇大學電氣信息工程學院;江蘇大學汽車工程研究院;
【基金】：國家自然科學基金項目(61104016、51305170、61174055) 中國博士后科學基金資助項目(2012M521012) 江蘇省自然基金項目(BK20130515) 江蘇高校優(yōu)勢學科建設工程項目(蘇政辦發(fā)[2011]6號)
【分類號】：TM343

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