基于RBF神經(jīng)網(wǎng)絡開關磁阻電機直接轉矩控制的研究
發(fā)布時間：2018-12-16 02:54
【摘要】：開關磁阻電機-Switched Reluctance Motor即SRM,是一種結構簡單、價格低、工作可靠的新型電機。由于其雙凸極結構以及其工作方式,在推廣過程中不可避免的遇到轉矩脈動大、噪聲大等問題,限制了電機的推廣。本文從改善控制策略方面來提高開關磁阻電機調速系統(tǒng)的整體性能。本文以SRM數(shù)學模型為基礎,結合在異步電動機領域應用已經(jīng)較為成熟的直接轉矩控制(DTC)的原理和方法,在Matlab/Simulink環(huán)境中搭建基于直接轉矩控制的開關磁阻電機調速系統(tǒng)仿真模型,并將其與傳統(tǒng)控制方式下的調速系統(tǒng)進行比較,仿真結果表明直接轉矩控制下的調速系統(tǒng)更優(yōu)越。為了進一步提高開關磁阻電機直接轉矩控制系統(tǒng)的性能,將原有的固定參數(shù)PID控制替換為模糊自適應PID系統(tǒng);并將原有的開關表替換為RBF神經(jīng)網(wǎng)絡狀態(tài)選擇器。模糊自適應PID改善了固定參數(shù)PID在面對非線性、控制參數(shù)變化的系統(tǒng)調節(jié)能力不足的缺點;而RBF神經(jīng)網(wǎng)絡所具有的并行運算能力、更強的容錯能力、魯棒性強等特點提高了系統(tǒng)的穩(wěn)定性。仿真結果表明,新的調速系統(tǒng)的動、靜態(tài)性能明顯優(yōu)于傳統(tǒng)直接轉矩控制下的調速系統(tǒng),并且顯著提高了系統(tǒng)的魯棒性和自適應能力。
[Abstract]:Switched reluctance motor-Switched Reluctance Motor (SRM,) is a new type of motor with simple structure, low price and reliable operation. Due to its doubly salient structure and its working mode, it is inevitable to meet the problems of large torque ripple and large noise in the process of popularization, which limits the popularization of the motor. In this paper, the control strategy is improved to improve the overall performance of switched reluctance motor speed control system. Based on the SRM mathematical model, this paper combines the principle and method of direct torque control (DTC), which has been applied in the field of asynchronous motor. The simulation model of switched reluctance motor speed regulation system based on direct torque control is built in Matlab/Simulink environment. The simulation results show that the speed regulation system under direct torque control is better than that under traditional control mode. In order to further improve the performance of the switched reluctance motor direct torque control system, the original fixed parameter PID control is replaced by the fuzzy adaptive PID system, and the original switching table is replaced by the RBF neural network state selector. Fuzzy adaptive PID improves the shortcoming of the fixed parameter PID in the face of nonlinear, control parameter change of the system regulation capacity is insufficient; The RBF neural network has the characteristics of parallel operation, stronger fault-tolerant ability and strong robustness to improve the stability of the system. The simulation results show that the dynamic and static performance of the new speed regulation system is obviously better than that of the traditional direct torque control system, and the robustness and adaptive ability of the system are greatly improved.
【學位授予單位】：河北工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM352
本文編號：2381721
[Abstract]:Switched reluctance motor-Switched Reluctance Motor (SRM,) is a new type of motor with simple structure, low price and reliable operation. Due to its doubly salient structure and its working mode, it is inevitable to meet the problems of large torque ripple and large noise in the process of popularization, which limits the popularization of the motor. In this paper, the control strategy is improved to improve the overall performance of switched reluctance motor speed control system. Based on the SRM mathematical model, this paper combines the principle and method of direct torque control (DTC), which has been applied in the field of asynchronous motor. The simulation model of switched reluctance motor speed regulation system based on direct torque control is built in Matlab/Simulink environment. The simulation results show that the speed regulation system under direct torque control is better than that under traditional control mode. In order to further improve the performance of the switched reluctance motor direct torque control system, the original fixed parameter PID control is replaced by the fuzzy adaptive PID system, and the original switching table is replaced by the RBF neural network state selector. Fuzzy adaptive PID improves the shortcoming of the fixed parameter PID in the face of nonlinear, control parameter change of the system regulation capacity is insufficient; The RBF neural network has the characteristics of parallel operation, stronger fault-tolerant ability and strong robustness to improve the stability of the system. The simulation results show that the dynamic and static performance of the new speed regulation system is obviously better than that of the traditional direct torque control system, and the robustness and adaptive ability of the system are greatly improved.
【學位授予單位】：河北工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM352
【參考文獻】
相關期刊論文 前1條
1 謝衛(wèi)才,黃守道,石安樂;開關磁阻電機調速系統(tǒng)發(fā)展動向[J];湖南工程學院學報(自然科學版);2004年04期
，本文編號：2381721
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