In the field of calculating the attack area of air-to-air missiles in modern air combat scenarios,the limitations of existing research,including real-time calculation,accuracy efficiency trade-off,and the absence of t...In the field of calculating the attack area of air-to-air missiles in modern air combat scenarios,the limitations of existing research,including real-time calculation,accuracy efficiency trade-off,and the absence of the three-dimensional attack area model,restrict their practical applications.To address these issues,an improved backtracking algorithm is proposed to improve calculation efficiency.A significant reduction in solution time and maintenance of accuracy in the three-dimensional attack area are achieved by using the proposed algorithm.Furthermore,the age-layered population structure genetic programming(ALPS-GP)algorithm is introduced to determine an analytical polynomial model of the three-dimensional attack area,considering real-time requirements.The accuracy of the polynomial model is enhanced through the coefficient correction using an improved gradient descent algorithm.The study reveals a remarkable combination of high accuracy and efficient real-time computation,with a mean error of 91.89 m using the analytical polynomial model of the three-dimensional attack area solved in just 10^(-4)s,thus meeting the requirements of real-time combat scenarios.展开更多
针对直流微电网系统中双有源桥(Dual active bridge,DAB)变换器存在的直流母线电压和负载波动大、传输功率不稳定等问题,提出一种基于遗传算法的自抗扰控制与梯度下降算法优化回流功率的混合优化控制策略。首先,分析拓展移相调制下DAB...针对直流微电网系统中双有源桥(Dual active bridge,DAB)变换器存在的直流母线电压和负载波动大、传输功率不稳定等问题,提出一种基于遗传算法的自抗扰控制与梯度下降算法优化回流功率的混合优化控制策略。首先,分析拓展移相调制下DAB变换器的拓扑结构和功率特性,以回流功率为损失函数,引入梯度下降算法迭代寻找最优内移相比。随后,在DAB变换器小信号建模的基础上,设计线性自抗扰控制器,通过扩张状态观测器对输出电压和系统内外部扰动进行观测估计。同时,考虑到复杂环境下自抗扰控制器参数整定的不确定性,引入遗传算法对自抗扰控制器进行参数自整定。最后,搭建以TMS320F28335为控制器的试验平台对提出的混合优化控制策略(Hybrid optimal control strategy under extended phase shift modulation,EPS-HOCS)和传统PI控制(PI control strategy under extended phase shift modulation,EPS-PI)和自适应梯度下降算法控制(Adaptive gradient descent algorithm under extended phase shift modulation,EPS-AGDA)进行分析对比,验证了所提策略在回流功率和动态性能方面的优越性。展开更多
提出了一种基于有效性分析的自组织模糊神经网络(self-organizingfuzzyneural network based on effectiveness analysis, SOEFNN)建模方法。首先,提出了一种针对模糊规则的有效性评价指标,利用样本与规则层输出之间的映射关系进行网络...提出了一种基于有效性分析的自组织模糊神经网络(self-organizingfuzzyneural network based on effectiveness analysis, SOEFNN)建模方法。首先,提出了一种针对模糊规则的有效性评价指标,利用样本与规则层输出之间的映射关系进行网络模型的有效性分析,通过累积触发的方式实现相应模糊规则的增加或删减,使网络模型在能够处理复杂非线性问题的同时降低其冗余性,使模型更为紧凑。采用梯度下降算法对网络模型进行训练。然后,对所提出的SOEFNN模型进行非线性系统仿真实验和污水处理过程中的出水生化需氧量预测建模,并与其他自组织模糊神经网络模型进行对比。仿真结果表明,所提出的SOEFNN模型能够很好地实现结构和参数的自适应调整,并且具有较好的逼近能力。展开更多
基金National Natural Science Foundation of China(62373187)Forward-looking Layout Special Projects(ILA220591A22)。
文摘In the field of calculating the attack area of air-to-air missiles in modern air combat scenarios,the limitations of existing research,including real-time calculation,accuracy efficiency trade-off,and the absence of the three-dimensional attack area model,restrict their practical applications.To address these issues,an improved backtracking algorithm is proposed to improve calculation efficiency.A significant reduction in solution time and maintenance of accuracy in the three-dimensional attack area are achieved by using the proposed algorithm.Furthermore,the age-layered population structure genetic programming(ALPS-GP)algorithm is introduced to determine an analytical polynomial model of the three-dimensional attack area,considering real-time requirements.The accuracy of the polynomial model is enhanced through the coefficient correction using an improved gradient descent algorithm.The study reveals a remarkable combination of high accuracy and efficient real-time computation,with a mean error of 91.89 m using the analytical polynomial model of the three-dimensional attack area solved in just 10^(-4)s,thus meeting the requirements of real-time combat scenarios.
文摘针对直流微电网系统中双有源桥(Dual active bridge,DAB)变换器存在的直流母线电压和负载波动大、传输功率不稳定等问题,提出一种基于遗传算法的自抗扰控制与梯度下降算法优化回流功率的混合优化控制策略。首先,分析拓展移相调制下DAB变换器的拓扑结构和功率特性,以回流功率为损失函数,引入梯度下降算法迭代寻找最优内移相比。随后,在DAB变换器小信号建模的基础上,设计线性自抗扰控制器,通过扩张状态观测器对输出电压和系统内外部扰动进行观测估计。同时,考虑到复杂环境下自抗扰控制器参数整定的不确定性,引入遗传算法对自抗扰控制器进行参数自整定。最后,搭建以TMS320F28335为控制器的试验平台对提出的混合优化控制策略(Hybrid optimal control strategy under extended phase shift modulation,EPS-HOCS)和传统PI控制(PI control strategy under extended phase shift modulation,EPS-PI)和自适应梯度下降算法控制(Adaptive gradient descent algorithm under extended phase shift modulation,EPS-AGDA)进行分析对比,验证了所提策略在回流功率和动态性能方面的优越性。
文摘提出了一种基于有效性分析的自组织模糊神经网络(self-organizingfuzzyneural network based on effectiveness analysis, SOEFNN)建模方法。首先,提出了一种针对模糊规则的有效性评价指标,利用样本与规则层输出之间的映射关系进行网络模型的有效性分析,通过累积触发的方式实现相应模糊规则的增加或删减,使网络模型在能够处理复杂非线性问题的同时降低其冗余性,使模型更为紧凑。采用梯度下降算法对网络模型进行训练。然后,对所提出的SOEFNN模型进行非线性系统仿真实验和污水处理过程中的出水生化需氧量预测建模,并与其他自组织模糊神经网络模型进行对比。仿真结果表明,所提出的SOEFNN模型能够很好地实现结构和参数的自适应调整,并且具有较好的逼近能力。
基金Supported by the Science and Technology Innovation 2030 New Generation Artificial Intelligence Major Project(2018AAA0100902)the National Key Research and Development Program of China(2019YFB1705800)the National Natural Science Foundation of China(61973270)。