基于RBF神经网络开关磁阻电机直接转矩控制的研究
发布时间：2018-12-16 02:54
【摘要】：开关磁阻电机-Switched Reluctance Motor即SRM,是一种结构简单、价格低、工作可靠的新型电机。由于其双凸极结构以及其工作方式,在推广过程中不可避免的遇到转矩脉动大、噪声大等问题,限制了电机的推广。本文从改善控制策略方面来提高开关磁阻电机调速系统的整体性能。本文以SRM数学模型为基础,结合在异步电动机领域应用已经较为成熟的直接转矩控制(DTC)的原理和方法,在Matlab/Simulink环境中搭建基于直接转矩控制的开关磁阻电机调速系统仿真模型,并将其与传统控制方式下的调速系统进行比较,仿真结果表明直接转矩控制下的调速系统更优越。为了进一步提高开关磁阻电机直接转矩控制系统的性能,将原有的固定参数PID控制替换为模糊自适应PID系统;并将原有的开关表替换为RBF神经网络状态选择器。模糊自适应PID改善了固定参数PID在面对非线性、控制参数变化的系统调节能力不足的缺点;而RBF神经网络所具有的并行运算能力、更强的容错能力、鲁棒性强等特点提高了系统的稳定性。仿真结果表明,新的调速系统的动、静态性能明显优于传统直接转矩控制下的调速系统,并且显著提高了系统的鲁棒性和自适应能力。
[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.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM352
本文编号：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.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM352
【参考文献】
相关期刊论文 前1条
1 谢卫才,黄守道,石安乐;开关磁阻电机调速系统发展动向[J];湖南工程学院学报(自然科学版);2004年04期
，本文编号：2381721
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