具L2有界不确定性扰动系统最优跟踪问题的时域解

本文对Ｌ２有界不确定性扰动下的一性系统在时域提出Ｍａｘｍｉｎ最优跟踪问题，给出了问题的时域状态反馈解，这一问题与相应的Ｈ∞问题具有某种一致性，因此，问题的求解方法可为解决领域不确定系统的Ｈ∞最优跟踪问题提供一种时域途径。     

A new structural reliability index based on uncertainty theory

The classical probabilistic reliability theory and fuzzy reliability theory cannot directly measure the uncertainty of structural reliability with uncertain variables,i.e.,subjective random and fuzzy variables.In order to simultaneously satisfy the duality of randomness and subadditivity of fuzziness in the reliability problem,a new quantification method for the reliability of structures is presented based on uncertainty theory,and an uncertainty-theory-based perspective of classical Cornell reliability index is explored.In this paper,by introducing the uncertainty theory,we adopt the uncertain measure to quantify the reliability of structures for the subjective probability or fuzzy variables,instead of probabilistic and possibilistic measures.We utilize uncertain variables to uniformly represent the subjective random and fuzzy parameters,based on which we derive solutions to analyze the uncertainty reliability of structures with uncertainty distributions.Moreover,we propose the Cornell uncertainty reliability index based on the uncertain expected value and variance.Experimental results on three numerical applications demonstrate the validity of the proposed method.     

Gaussian mixture model based adaptive control for uncertain nonlinear systems with complex state constraints

This paper addresses an uncertain nonlinear control system problem with complex state constraints and mismatched uncertainties. A novel Gaussian Mixture Model(GMM) based adaptive PID-Nonsingular Terminal Sliding Mode Control(NTSMC)(GMM-adaptive-PID-NTSMC)method is proposed. It is achieved by combining a GMM based adaptive potential function with a novel switching surface of PID-NTSMC. Next, the stability of the closed-loop system is proved.The main contribution of this paper is that the GMM meth...     

目标机动条件下的定点伴飞控制方法研究

对目标机动条件下的定点伴飞控制进行了研究。根据相对运动关系,建立适于伴飞模式的相对运动方程,将目标机动大小作为未知量加入相对运动方程,构建不确定系统。用LQR和Lyapunov法结合的方式设计相应定点伴飞控制律。理论证明了在目标机动时该控制律仍能实现系统的渐近稳定。仿真结果验证了该控制律的有效性。     

Towards intelligent design optimization: Progress and challenge of design optimization theories and technologies for plastic forming

Plastic forming is one of enabling and fundamental technologies in advanced manufacturing chains. Design optimization is a critical way to improve the performance of the forming system, exploit the advantages of high productivity, high product quality, low production cost and short time to market and develop precise, accurate, green, and intelligent (smart) plastic forming technology. However, plastic forming is quite complicated, relating to multi-physics field coupling, multi-factor influence, multi-defect constraint, and triple nonlinear, etc., and the design optimization for plastic forming involves multi-objective, multi-parameter, multi-constraint, nonlinear, high-dimensionality, non-continuity, time-varying, and uncertainty, etc. Therefore, how to achieve accurate and efficient design optimization of products, equipment, tools/dies, and processing as well as materials characterization has always been the research frontier and focus in the field of engineering and manufacturing. In recent years, with the rapid development of computing science, data science and internet of things (IoT), the theories and technologies of design optimization have attracted more and more attention, and developed rapidly in forming process. Accordingly, this paper first introduced the framework of design optimization for plastic forming. Then, focusing on the key problems of design optimization, such as numerical model and optimization algorithm, this paper summarized the research progress on the development and application of the theories and technologies about design optimization in forming process, including deterministic and uncertain optimization. Moreover, the applicability of various modeling methods and optimization algorithms was elaborated in solving the design optimization problems of plastic forming. Finally, considering the development trends of forming technology, this paper discusses some challenges of design optimization that may need to be solved and faced in forming process.     

精密转台系统非线性动态自适应控制器设计

提出了一种用于精密转台平滑鲁棒自适应控制器。通过基于σ改进方案的自适应律估计得到未知摩擦参数和非线性项的常值上界,并且利用一种平滑预测算法来改进用于估计不可测摩擦状态的双观测器。为了抑制不确定非线性项,加入了无抖振滑模控制项。通过Lyapunov方法证明了系统的位置跟踪误差是一致最终有界的。仿真研究表明了该控制方案的有效性。     

弹道导弹的自适应模糊滑模控制研究

对弹道导弹的三通道非线性模型进行了分析,为了实现三通道的解耦设计,简化控制系统结构,将通道间的耦合项和干扰项看作是单个通道的不确定项,从而将非线性模型转化为一种解耦形式.在此基础上,采用自适应模糊滑模控制方法设计了弹道导弹的推力矢量控制系统.自适应模糊滑模控制方法利用自适应模糊控制器来调节滑模控制参数,对不确定项的边界进行估计和补偿,保证了系统的跟踪误差指数地收敛到零.仿真结果表明了该控制方法的有效性.     

气体动压轴承-转子动力系统稳定性及分岔

基于非线性动力学理论, 研究了普通圆柱型径向气体动压轴承支承的转子动力系统的运动稳定性和分岔.建立了气体动压轴承-Jeffcott转子系统的力学模型, 并采用有限元方法逼近非定常气体雷诺方程, 得到任意时刻的气膜力;数值模拟该非线性动力系统的长期行为, 得到了轴颈中心的运动轨迹;并采用轨迹图、相图、分岔图以及功率谱等, 研究了系统的非线性行为以及不平衡响应的稳定性.研究结果表明:该方法对气体轴承中存在的气膜涡动问题能够给予合理的解释.      

复合材料层合锥壳非线性稳定性的有限元分析

本文根据稳定性分析的前屈曲完全理论和修正型的Ｈａｈｎ－Ｔｓａｉ非线性本构关系，采用有限元法分析了复合材料层合回转壳的非线性稳定性，讨论了屈曲产壳体法向与面内支承条件和复合材料的横向和剪切非线性性能对壳体结构总体稳定性的影响，为工程结构设计者们提供了一些有益的参考意见。     

基于模糊观测器的不确定非线性系统故障检测方法

给出了一种不确定非线性系统的基于模糊观测器的故障诊断方法。用T-S模型描述不确定非线性系统,从而得到一种新的模糊观测器,并给出了其稳定性约束条件LMI。将模糊观测器和实际系统的输出之差作为残差可对不确定非线性系统进行故障检测。最后给出了一个控制系统感应电机的故障诊断应用实例。