In order to improve the strength of civil engineering structure, a semiactive control model of civil engineering structure based on neural network is proposed, and the control constraint parameter model of semiactive regulation of civil engineering structure is constructed. Combined with the controlled object model, the semiactive control model of civil engineering structure is designed, the mechanical analysis model of civil engineering structure is established, and the semiactive regulation of civil engineering structure is carried out by the small disturbance suppression method. The semiactive adjustment of civil engineering structure is carried out by using the structural strength fusion tracking method. Taking the internal strength and shock yield response of civil engineering structure as constraint parameters, the semiactive control of civil engineering structure is carried out and PID neural network is used to optimize the control system. The simulation results show that the semiactive control of civil engineering structure with this method has good stability, and the strength and yield response strength of civil engineering structure are improved, and it has good control efficiency.

中文翻译：

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基于神经网络的土木工程结构半主动控制研究

为了提高土木工程结构强度，提出了一种基于神经网络的土木工程结构半主动控制模型，构建了土木工程结构半主动调节的控制约束参数模型。结合受控对象模型，设计了土木工程结构的半主动控制模型，建立了土木工程结构的力学分析模型，并通过小扰动抑制方法对土木工程结构进行了半主动调节。土木工程结构的半主动调整采用结构强度融合跟踪法进行。以土木工程结构的内部强度和冲击屈服响应为约束参数，进行了土木工程结构的半主动控制，并采用PID神经网络对控制系统进行了优化。仿真结果表明，该方法对土木工程结构的半主动控制具有良好的稳定性，提高了土木工程结构的强度和屈服响应强度，具有良好的控制效果。