永磁式直线开关磁阻发电系统研究

发布时间：2018-11-15 13:46

【摘要】：波浪所蕴含的能量主要是海洋表面波浪运动而产生的动能和势能,作为一种利用价值很高的新型能源,其具有可再生、无污染和蕴含量大等特点。在现今资源短缺的情况下,怎样高效的利用波浪能成为很多学者研究的课题。传统的波浪能发电系统是先将波浪的直线运动转化为电机的旋转运动后再进行发电,这样的发电系统需要经过多级转换实现电能输出,因此系统复杂庞大、成本高、发电效率低。利用直驱式直线开关磁阻电机建立的发电系统直接将直线运动的波浪能转换成电能,克服了传统发电系统的诸多弊端,提高发电效率。本文设计的永磁式直线开关磁阻电机(PMLSRD)是将一个方形的永磁体加入传统直线开关磁阻电机(LSRD)的动子结构中,从而构成了一种新型电机。这种新型的直线开关磁阻发电系统有效的利用永磁体励磁,提高系统的发电效率。为了分析这种电机的电感特性、磁场分布、和力特性,利用ANSYS Maxwell对永磁体式直线开关磁阻电机进行建模和有限元分析;为了分析永磁式直线开关磁阻电机的发电原理和效率,利用ANSYS Maxwell和ANSYS Simplorer对单相永磁式直线开关磁阻发电系统进行联合仿真;对基于PID控制算法的永磁式直线开关磁阻发电系统和相同算法的传统直线开关磁阻发电系统分别进行仿真,分析两者的发电效率。本文在d SPACE的平台上进行永磁式直线开关磁阻发电系统进行实验,实验采用双闭环控制,其中电压环和电流环都采用PID控制算法,发电电压的误差控制在?5.0 V。最后,又对电压环的PID控制算法进行改进,采用BP神经网络PID控制算法对永磁式直线开关磁阻电机发电系统进行实验,分析实验结果。将两种控制算法下的试验结果进行比较,虽然BP神经网络PID控制算法对控制精度的改善效果很小,但是它使系统的抗干扰能力和自适应能力增强,系统将更加适用于海洋的环境。
[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.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TM352

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