摘要
将模糊控制和神经网络控制相结合设计出模糊神经网络控制器,应用于交流伺服系统的调速控制中,可以克服交流伺服电机中参数变化、非线性和耦合等不确定因素的影响。针对模糊神经网络控制器运算量大、收敛慢的特点,硬件采用DSP芯片作为其控制器运算单元,成功地完成了其控制器的DSP实现,提高了交流调速系统的控制性能。
Applying the fuzzy neural network control produced by the combination of fuzzy control and neural network control to the speed control of AC servo system can overcome the negative impact of parameter variations, nonlinear and coupled in AC servo motor. According to the characteristics of abundant calculation and slow convergence of fuzzy neural network controller, DSP chip is used by the hardware as its controller computing unit. It achieves the application of DSP successfully to its controller and improves the control of alternating current governor system.
出处
《温州职业技术学院学报》
2010年第1期41-43,共3页
Journal of Wenzhou Polytechnic
基金
江苏广播电视大学学术带头人基金(0801013)
关键词
模糊神经网络
交流调速系统
DSP
控制器
Fuzzy neural network
Alternating current governor system
DSP
Controller
