基于模型參考自適應(yīng)的感應(yīng)電機(jī)溫度辨識(shí)方法研究
發(fā)布時(shí)間:2018-10-13 09:37
【摘要】:由于一些感應(yīng)電機(jī)需要運(yùn)行在復(fù)雜工況下(例如潛油電機(jī)),由于這一類復(fù)雜工況下工作的感應(yīng)電機(jī)溫度不易直接測量,其電機(jī)內(nèi)腔溫度也不易散發(fā)。此時(shí)電機(jī)溫升情況關(guān)系到電機(jī)長期穩(wěn)定運(yùn)行的安全性,這就需對復(fù)雜工況下運(yùn)行的感應(yīng)電機(jī)溫度進(jìn)行狀態(tài)監(jiān)測。尤其在電機(jī)負(fù)載突變的瞬間,其電流會(huì)發(fā)生突變,但電機(jī)的溫度卻不會(huì)發(fā)生突變。因此,本文針對以上問題進(jìn)行了研究,將電機(jī)定轉(zhuǎn)子電阻參數(shù)辨識(shí)方法與電機(jī)等效熱模型進(jìn)行結(jié)合,以實(shí)現(xiàn)對電機(jī)定轉(zhuǎn)子側(cè)溫度的在線辨識(shí)。將模型參考自適應(yīng)理論應(yīng)用于電機(jī)定轉(zhuǎn)子電阻的參數(shù)辨識(shí)當(dāng)中,根據(jù)兩相靜止坐標(biāo)系下的感應(yīng)電機(jī)數(shù)學(xué)模型進(jìn)行推導(dǎo),可到得到等效轉(zhuǎn)子磁鏈的電壓與電流模型。通過等效轉(zhuǎn)子磁鏈的電壓與電流模型可以確定定子和轉(zhuǎn)子電阻辨識(shí)方案的參考模型與可調(diào)模型,所做工作可為定轉(zhuǎn)子電阻各自自適應(yīng)率的設(shè)計(jì)提供理論依據(jù)。為了保證定轉(zhuǎn)子電阻辨識(shí)系統(tǒng)的穩(wěn)定性,將超穩(wěn)定不等式應(yīng)用于定轉(zhuǎn)子電阻辨識(shí)系統(tǒng)誤差方程,得到定轉(zhuǎn)子電阻對應(yīng)的各自自適應(yīng)率。由于電機(jī)溫度變化對定轉(zhuǎn)子電阻的影響,利用電機(jī)溫度與金屬電阻的近似線性關(guān)系對自適應(yīng)率中的電阻阻值進(jìn)行了修正,得到了跟隨電機(jī)溫度變化的定轉(zhuǎn)子電阻辨識(shí)方案。通過建模仿真可驗(yàn)證所建立模型的穩(wěn)定性。由于電機(jī)的溫升是因?yàn)槠渌a(chǎn)生的損耗引起的,跟據(jù)感應(yīng)電機(jī)結(jié)構(gòu)得到感應(yīng)電機(jī)兩熱源的等效熱模型。在此基礎(chǔ)上將感應(yīng)電機(jī)散熱系統(tǒng)對電機(jī)溫度的影響因素進(jìn)行考慮,得到修正后的感應(yīng)電機(jī)等效熱模型,利用該模型可以實(shí)現(xiàn)對感應(yīng)電機(jī)定轉(zhuǎn)子側(cè)溫度的實(shí)時(shí)辨識(shí)。改進(jìn)了感應(yīng)電機(jī)溫度辨識(shí)系統(tǒng)的平臺(tái),完善了算法平臺(tái)。然后進(jìn)行了恒負(fù)載轉(zhuǎn)矩,變負(fù)載轉(zhuǎn)矩,變壓變負(fù)載轉(zhuǎn)矩以及變頻變負(fù)載轉(zhuǎn)矩的實(shí)驗(yàn)以模擬實(shí)際電機(jī)運(yùn)行的復(fù)雜工況。通過對不同實(shí)驗(yàn)條件下的實(shí)驗(yàn)辨識(shí)溫度與實(shí)測溫度的對比分析,二者間的最大誤差小于8℃,且負(fù)載突變瞬間溫度辨識(shí)結(jié)果無突變,體現(xiàn)了算法模型的具有良好的動(dòng)態(tài)跟隨性,同時(shí)也驗(yàn)證了本文所提出的電機(jī)溫度辨識(shí)方法的可行性與正確性。
[Abstract]:Since some induction motors need to operate under complex operating conditions (such as submersible motors), the temperature of induction motors operating under this kind of complex working conditions is not easy to be measured directly, and the temperature of the inner cavity of the motors is not easy to emit. In this case, the temperature rise of the motor is related to the safety of the motor running steadily for a long time, so it is necessary to monitor the temperature of the induction motor operating under complex conditions. Especially in the moment of the sudden change of the motor load, the electric current will change, but the temperature of the motor will not change. Therefore, this paper studies the above problems and combines the identification method of resistance parameters of stator and rotor with the equivalent heat model of motor to realize the on-line identification of stator and rotor side temperature of motor. The model reference adaptive theory is applied to the parameter identification of the stator and rotor resistance of the motor. According to the mathematical model of the induction motor in the two-phase stationary coordinate system, the voltage and current model of the equivalent rotor flux can be obtained. The reference model and adjustable model of stator and rotor resistance identification scheme can be determined by the voltage and current model of equivalent rotor flux. The work can provide a theoretical basis for the design of self-adaptive rate of stator and rotor resistance. In order to ensure the stability of the stator and rotor resistance identification system, the superstability inequality is applied to the error equation of the stator and rotor resistance identification system, and the corresponding adaptive rates of the stator and rotor resistance are obtained. Because of the influence of the temperature change of the motor on the stator and rotor resistance, the resistance in the adaptive rate is modified by using the approximate linear relationship between the temperature of the motor and the metal resistance, and the identification scheme of the stator and rotor resistance following the variation of the temperature of the motor is obtained. The stability of the established model can be verified by modeling and simulation. Due to the loss caused by the temperature rise of the motor, the equivalent heat model of the two heat sources of the induction motor is obtained according to the structure of the induction motor. On the basis of this, the influence factors of induction motor heat dissipation system on motor temperature are considered, and the modified equivalent heat model of induction motor is obtained, which can be used to realize the real-time identification of stator and rotor side temperature of induction motor. The platform of induction motor temperature identification system and the algorithm platform are improved. Then the experiments of constant load torque, variable voltage load torque and variable frequency load torque are carried out to simulate the complex operating conditions of the actual motor. Through the comparison and analysis of the experimental identification temperature and the measured temperature under different experimental conditions, the maximum error between them is less than 8 鈩,
本文編號(hào):2268134
[Abstract]:Since some induction motors need to operate under complex operating conditions (such as submersible motors), the temperature of induction motors operating under this kind of complex working conditions is not easy to be measured directly, and the temperature of the inner cavity of the motors is not easy to emit. In this case, the temperature rise of the motor is related to the safety of the motor running steadily for a long time, so it is necessary to monitor the temperature of the induction motor operating under complex conditions. Especially in the moment of the sudden change of the motor load, the electric current will change, but the temperature of the motor will not change. Therefore, this paper studies the above problems and combines the identification method of resistance parameters of stator and rotor with the equivalent heat model of motor to realize the on-line identification of stator and rotor side temperature of motor. The model reference adaptive theory is applied to the parameter identification of the stator and rotor resistance of the motor. According to the mathematical model of the induction motor in the two-phase stationary coordinate system, the voltage and current model of the equivalent rotor flux can be obtained. The reference model and adjustable model of stator and rotor resistance identification scheme can be determined by the voltage and current model of equivalent rotor flux. The work can provide a theoretical basis for the design of self-adaptive rate of stator and rotor resistance. In order to ensure the stability of the stator and rotor resistance identification system, the superstability inequality is applied to the error equation of the stator and rotor resistance identification system, and the corresponding adaptive rates of the stator and rotor resistance are obtained. Because of the influence of the temperature change of the motor on the stator and rotor resistance, the resistance in the adaptive rate is modified by using the approximate linear relationship between the temperature of the motor and the metal resistance, and the identification scheme of the stator and rotor resistance following the variation of the temperature of the motor is obtained. The stability of the established model can be verified by modeling and simulation. Due to the loss caused by the temperature rise of the motor, the equivalent heat model of the two heat sources of the induction motor is obtained according to the structure of the induction motor. On the basis of this, the influence factors of induction motor heat dissipation system on motor temperature are considered, and the modified equivalent heat model of induction motor is obtained, which can be used to realize the real-time identification of stator and rotor side temperature of induction motor. The platform of induction motor temperature identification system and the algorithm platform are improved. Then the experiments of constant load torque, variable voltage load torque and variable frequency load torque are carried out to simulate the complex operating conditions of the actual motor. Through the comparison and analysis of the experimental identification temperature and the measured temperature under different experimental conditions, the maximum error between them is less than 8 鈩,
本文編號(hào):2268134
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