In this paper, an adaptive dynamic control scheme based on a fuzzy neural network is presented, that presents utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neu...In this paper, an adaptive dynamic control scheme based on a fuzzy neural network is presented, that presents utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neural network with both identification and control role, and the latter is a fuzzy neural algorithm, which is introduced to provide additional control enhancement. The feedforward controller provides only coarse control, whereas the feedback controller can generate on-line conditional proposition rule automatically to improve the overall control action. These properties make the design very versatile and applicable to a range of industrial applications.展开更多
Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system,adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employe...Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system,adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employed to identify the primary uncertainty and the mathematic model of the system was turned into an equivalent linear model with terms of secondary uncertainty.At the same time,gain adaptive sliding mode variable structure control(GASMVSC) was employed to synthesize the control effort.The results show that the unrealization problem caused by some system's immeasurable state variables in traditional fuzzy neural networks(TFNN) taking all state variables as its inputs is overcome.On the other hand,the identification by the ADRFNNs online with high accuracy and the adaptive function of the correction term's gain in the GASMVSC make the system possess strong robustness and improved steady accuracy,and the chattering phenomenon of the control effort is also suppressed effectively.展开更多
基于自适应噪声对消原理的自适应谐波电流检测方法具有实现简单、自适应性强等优点;但是算法中步长的选择需要在收敛速度和稳态精度之间折中考虑,大大降低了算法的实用性。在以往研究的基础上,提出了一种改进的变步长自适应谐波电流检...基于自适应噪声对消原理的自适应谐波电流检测方法具有实现简单、自适应性强等优点;但是算法中步长的选择需要在收敛速度和稳态精度之间折中考虑,大大降低了算法的实用性。在以往研究的基础上,提出了一种改进的变步长自适应谐波电流检测方法,它利用滑动积分器提取真正的跟踪误差,并采用带有自调整因子的模糊调整器来动态调整步长,能够保证谐波检测过程既具有较快的动态响应速度,又保持较小的稳态失调。此滑动积分器及模糊调整器结构简单,容易用数字信号处理器(digital signal processor,DSP)实现。同时对三相系统中谐波检测及各次谐波电流的检测方法进行了讨论,拓宽了算法的应用范围。仿真与实验结果验证了该文所提出算法的有效性。展开更多
基金China Postdoctoral Science Foundation and Natural Science of Heibei Province!698004
文摘In this paper, an adaptive dynamic control scheme based on a fuzzy neural network is presented, that presents utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neural network with both identification and control role, and the latter is a fuzzy neural algorithm, which is introduced to provide additional control enhancement. The feedforward controller provides only coarse control, whereas the feedback controller can generate on-line conditional proposition rule automatically to improve the overall control action. These properties make the design very versatile and applicable to a range of industrial applications.
基金Project(60634020) supported by the National Natural Science Foundation of China
文摘Based on consideration of the differential relations between the immeasurable variables and measurable variables in electro-hydraulic servo system,adaptive dynamic recurrent fuzzy neural networks(ADRFNNs) were employed to identify the primary uncertainty and the mathematic model of the system was turned into an equivalent linear model with terms of secondary uncertainty.At the same time,gain adaptive sliding mode variable structure control(GASMVSC) was employed to synthesize the control effort.The results show that the unrealization problem caused by some system's immeasurable state variables in traditional fuzzy neural networks(TFNN) taking all state variables as its inputs is overcome.On the other hand,the identification by the ADRFNNs online with high accuracy and the adaptive function of the correction term's gain in the GASMVSC make the system possess strong robustness and improved steady accuracy,and the chattering phenomenon of the control effort is also suppressed effectively.
文摘基于自适应噪声对消原理的自适应谐波电流检测方法具有实现简单、自适应性强等优点;但是算法中步长的选择需要在收敛速度和稳态精度之间折中考虑,大大降低了算法的实用性。在以往研究的基础上,提出了一种改进的变步长自适应谐波电流检测方法,它利用滑动积分器提取真正的跟踪误差,并采用带有自调整因子的模糊调整器来动态调整步长,能够保证谐波检测过程既具有较快的动态响应速度,又保持较小的稳态失调。此滑动积分器及模糊调整器结构简单,容易用数字信号处理器(digital signal processor,DSP)实现。同时对三相系统中谐波检测及各次谐波电流的检测方法进行了讨论,拓宽了算法的应用范围。仿真与实验结果验证了该文所提出算法的有效性。
