摘要
为了提高三相逆变电源的电压输出波形质量,减少输出电压的谐波分量和总畸变率,提出模糊神经元PID控制策略。以DSP芯片为控制系统核心,对输出电压进行Clarke和Park矢量变换,采用人工神经网络方法与PID控制理论构成神经元PID控制器,对PID控制器参数进行在线调整,将模糊控制理论引入神经元PID控制器形成模糊神经元PID控制策略,并将基于60°坐标系的SVPWM算法用于逆变电源控制系统中,对系统稳态负载、动态负载、不对称负载情况下分别进行仿真实验。仿真结果表明:采用模糊神经元PID控制策略控制下的三相SVP-WM逆变电源,在不同负载情况下的输出电压谐波分量小,总畸变率少,达到电压输出波形质量性能要求。
In order to improve the quality of three-phase inverter voltage output waveform and decrease the harmonic component and aberration rate of the output voltage, this paper presents a control scheme com bined with fuzzy control, neuron study and PID control. With DSP as the control core, voltage output waveform is transformed by Clarke and Park vector transformation. Neuron PID controller is used to ad-just PID controller parameters online, and the fuzzy controller is used in Neuron PID controller to form the compound control strategy. And based on 60 degrees rotating frame, SVPWM technology is used in three -phase inverter control system. The control system is simulated in the situations of steady-state load, dy namic load and asymmetric load. The simulation results verify that the use of the scheme can obtain high quality voltage output waveform with low harmonic component and aberration rate.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2013年第4期91-94,共4页
Journal of Air Force Engineering University(Natural Science Edition)
