發(fā)布時間：2018-11-15 13:46

【摘要】：波浪所蘊含的能量主要是海洋表面波浪運動而產(chǎn)生的動能和勢能,作為一種利用價值很高的新型能源,其具有可再生、無污染和蘊含量大等特點。在現(xiàn)今資源短缺的情況下,怎樣高效的利用波浪能成為很多學者研究的課題。傳統(tǒng)的波浪能發(fā)電系統(tǒng)是先將波浪的直線運動轉化為電機的旋轉運動后再進行發(fā)電,這樣的發(fā)電系統(tǒng)需要經(jīng)過多級轉換實現(xiàn)電能輸出,因此系統(tǒng)復雜龐大、成本高、發(fā)電效率低。利用直驅式直線開關磁阻電機建立的發(fā)電系統(tǒng)直接將直線運動的波浪能轉換成電能,克服了傳統(tǒng)發(fā)電系統(tǒng)的諸多弊端,提高發(fā)電效率。本文設計的永磁式直線開關磁阻電機(PMLSRD)是將一個方形的永磁體加入傳統(tǒng)直線開關磁阻電機(LSRD)的動子結構中,從而構成了一種新型電機。這種新型的直線開關磁阻發(fā)電系統(tǒng)有效的利用永磁體勵磁,提高系統(tǒng)的發(fā)電效率。為了分析這種電機的電感特性、磁場分布、和力特性,利用ANSYS Maxwell對永磁體式直線開關磁阻電機進行建模和有限元分析;為了分析永磁式直線開關磁阻電機的發(fā)電原理和效率,利用ANSYS Maxwell和ANSYS Simplorer對單相永磁式直線開關磁阻發(fā)電系統(tǒng)進行聯(lián)合仿真;對基于PID控制算法的永磁式直線開關磁阻發(fā)電系統(tǒng)和相同算法的傳統(tǒng)直線開關磁阻發(fā)電系統(tǒng)分別進行仿真,分析兩者的發(fā)電效率。本文在d SPACE的平臺上進行永磁式直線開關磁阻發(fā)電系統(tǒng)進行實驗,實驗采用雙閉環(huán)控制,其中電壓環(huán)和電流環(huán)都采用PID控制算法,發(fā)電電壓的誤差控制在?5.0 V。最后,又對電壓環(huán)的PID控制算法進行改進,采用BP神經(jīng)網(wǎng)絡PID控制算法對永磁式直線開關磁阻電機發(fā)電系統(tǒng)進行實驗,分析實驗結果。將兩種控制算法下的試驗結果進行比較,雖然BP神經(jīng)網(wǎng)絡PID控制算法對控制精度的改善效果很小,但是它使系統(tǒng)的抗干擾能力和自適應能力增強,系統(tǒng)將更加適用于海洋的環(huán)境。
[Abstract]:The energy contained in the wave is mainly the kinetic energy and potential energy generated by the wave motion on the ocean surface. As a new type of energy with high utilization value, it has the characteristics of renewable, pollution-free and high potential energy. In the current situation of resource shortage, how to efficiently utilize wave energy has become a research topic for many scholars. The traditional wave energy generation system first converts the straight motion of the wave into the rotating motion of the motor before generating electricity. Such a generation system needs multistage conversion to realize the output of electric energy, so the system is complex and expensive. The efficiency of generating electricity is low. The generation system based on direct-drive linear switched reluctance motor directly converts the wave energy of linear motion into electric energy, which overcomes many disadvantages of traditional power generation system and improves power generation efficiency. In this paper, the permanent magnet linear switched reluctance motor (PMLSRD) is designed to add a square permanent magnet into the moving substructure of the traditional linear switched reluctance motor (LSRD), thus constituting a new type of motor. This new linear switched reluctance power generation system effectively utilizes permanent magnets to improve the generation efficiency of the system. In order to analyze the inductance, magnetic field distribution and force characteristics of the motor, the permanent magnet linear switched reluctance motor is modeled and analyzed by ANSYS Maxwell. In order to analyze the generation principle and efficiency of permanent magnet linear switched reluctance motor, the single-phase permanent magnet linear switched reluctance generation system is simulated by ANSYS Maxwell and ANSYS Simplorer. The permanent magnet linear switched reluctance power generation system based on PID control algorithm and the traditional linear switched reluctance generation system with the same algorithm are simulated, and their generation efficiency is analyzed. In this paper, the permanent magnet linear switched reluctance generation system is tested on d SPACE platform. The experiment adopts double closed loop control, in which both voltage loop and current loop adopt PID control algorithm, and the error of generation voltage is controlled at? 5.0 V. Finally, the PID control algorithm of voltage loop is improved, and the BP neural network PID control algorithm is used to test the power generation system of permanent magnet linear switched reluctance motor, and the experimental results are analyzed. The experimental results of the two control algorithms are compared. Although the BP neural network PID control algorithm has little effect on improving the control precision, it enhances the anti-interference ability and adaptive ability of the system. The system will be more suitable for the marine environment.
【學位授予單位】：深圳大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM352

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本文編號：2333470