随机激励下柔性智能梁结构振动的模糊自适应控制

对柔性智能梁结构提出了一种具有结构和参数学习能力的模糊神经网络控制方法,该法摒弃了常规的以BP算法来优化整个网络参数的作法,利用遗传算法对网络全局性参数进行离线优化,利用BP学习算法对网络局部性参数进行在线调节。以柔性智能悬臂梁为例,实现了对其在随机激励下的振动控制。仿真结果表明,模糊神经网络控制算法对智能结构的振动控制具有一定的鲁棒性和自适应性。

Fuzzy Nerve Network Vibration Control of Flexible Intelligent Beam Structures under Random Excitation

A method for a control fuzzy neutral network is proposed,where the macrocosmic structure of the fuzzy logic control and parameters are optimized based on genetic algorithm off line,the local parameters are revised by means of back propagation calculation on line.A cantilever beam,as an example,is taken to demonstrate the feasibility on the active vibration control in flexible intelligent beam under random excitation.The simulation results show the robustness and setf-adaptation.