结构动力方程的精细与差分耦合时程积分法

提出一种将精细积分法与Newmark-β法耦合起来的结构动力学时程积分方法.该方法通过引入Newmark-β法的基本假设,将加速度分量从动力学方程中消去,动力学方程由二阶常微分方程组变为一阶常微分方程组,然后再用精细积分法进行逐步积分.与直接应用精细积分法相比,方程的个数可以减少一半.该文对这种方法进行了理论推导和算例验证,表明了该方法在结构动力分析中的有效性.     

精细积分的非线性动力学积分方程及其解法

给出了非线性动力学积分方程的表达式,针对该方程提出了一个显式预测-校正的单步四阶精度的精细积分算法,适用于多自由度、强非线性,非保守系统.算例表明该方法精度高、计算量较少.     

离散精细时程积分的自适应求积算法研究

基于Hamilton体系下的精细时程积分方法,通过对载荷项进行离散,应用中值法使载荷项在时间步长内为常值,从而将非齐次动力方程转化为齐次动力方程,避免了矩阵的求逆运算;基于积分区间逐次半分的思想实现了任意时间步长的自适应求积。数值算例结果表明：在同等时间步长的非齐次系统中,精细时程积分的最大误差为中心差分法的2.8%,为Newmark法的2.2%,最大求解误差仅为0.029%。这充分说明了本文的离散精细时程积分的自适应求积算法具有很好的收敛性。     

连续时间线性约束LQ控制问题的时程精细积分方法

本文基于连续时间线性约束LQ控制问题,给出时段的消元公式.由于消元过程与消元次序无关,故可在此过程中引入2N类高精度时程积分方法.求出Riccati方程后,对状态向量进一步采用时程精细积分法,可确定系统非常精确的状态向量.该方法不仅保证了系统的计算精度,而且有很好的数值稳定性.数值例题说明了本文方法的有效性.     

暂态历程的精细计算方法

在２＾Ｎ类算法计算指数矩阵的基础上，提出了精细积分法计算暂态历程问题，其数值结果可以比拟于精确解的数值结果，数值例题表明了方法高度准确的特点，分析了算法的精度，指出了高度准确的条件。     

非粘滞阻尼系统时程响应分析的精细积分方法

考虑一个具有非粘滞阻尼特性的多自由度系统响应的时程分析问题.该非粘滞阻尼模型假设阻尼力与质点速度的时间历程相关,数学表达式体现为阻尼力等于质点速度与某一核函数的卷积.在利用状态空间方法将系统运动方程转换成一阶的状态方程的基础上,采用精细积分方法对状态方程进行数值求解,得到一种求解该阻尼系统时程响应的精确、高效的计算方法.通过两个数值算例表明,采用该方法得到几乎精确的数值计算结果,而且计算效率有成数量级的提高.     

大型结构动力响应的状态方程的Krylov精细时程积分法

提出了一种新的精细时程积分法来求解大型动力系统. 结合Krylov子空间法、培德级数近似以及一般载荷的维数扩展法,进一步提高精细时程积分法的计算效率. 利用维数扩展法避免计算微分方程特解,并可处理任意载荷. 对于大型动力系统,通过Krylov子空间的降维分析将问题转化到一个子空间,计算效率得到极大提高. 对于迭代次数$N$的选择作了详细讨论,进一步提高了计算效率.     

非线性动力学方程的精细积分算法

介绍用精细积分法求解动力学问题的原则和方法,通过实例证明用这种方法求非线性问题数值解的有效性．     

大型结构动力响应的状态方程的Krylov精细时程积分法

提出了一种新的精细时程积分法来求解大型动力系统.结合Krylov子空间法、培德级数近似以及一般载荷的维数扩展法,进一步提高精细时程积分法的计算效率.利用维数扩展法避免计算微分方程特解,并可处理任意载荷.对于大型动力系统,通过Krylov子空间的降维分析将问题转化到一个子空间,计算效率得到极大提高.对于迭代次数N的选择作了详细讨论,进一步提高了计算效率.     

瞬态热传导方程的子结构精细积分方法

对线性定常结构动力系统提出的精细积分方法,在数值精度等方面表现出极大优越性。但是当矩阵尺度很大时在数值计算与存储中将产生困难。对此,本文对瞬态热传导方程,根据子结构的概念,将结构分为若干个子结构,对各子结构分别进行指数矩阵运算并通过子结构间界面的物理量相联系,从而提高精细积分方法的计算效率。     

TIME PRECISE INTEGRATION METHOD FOR CONSTRAINED NONLINEAR CONTROL SYSTEM

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EXACT LINEARIZATION BASED MULTIPLE-SUBSPACE ITERATIVE RESOLUTION TO AFFINE NONLINEAR CONTROL SYSTEM

To the optimal control problem of affine nonlinear system, based on differential geometry theory, feedback precise linearization was used. Then starting from the simulative relationship between computational structural mechanics and optimal control, multiple-substructure method was inducted to solve the optimal control problem which was linearized. And finally the solution to the original nonlinear system was found. Compared with the classical linearizational method of Taylor expansion, this one diminishes the abuse of error expansion with the enlargement of used region.     

非线性动力方程的增维精细积分法

对线性定常结构的动力系统提出的精细积分法,能得到在数值上逼近于精确解的结果。但是对于非齐次动力方程却涉及到矩阵求逆的困难,而且通常与时间有关的非齐次项不能进入精细积分的细化过程。采用增维的方法,将非齐次动力方程化为齐次方程,在实施精细积分的过程中不必进行矩阵求逆。这种处理方法对于程序实现和提高数值计算的稳定性十分有利,而且在大型问题中可明显提高计算效率,数值算例显示本文方法是有效的。     

A multi-objective optimal PID control for a nonlinear system with time delay

It is generally difficult to design feedback controls of nonlinear systems with time delay to meet time domain specifications such as rise time, overshoot, and tracking error. Furthermore, these time domain specifications tend to be conflicting to each other to make the control design even more challenging. This paper presents a cell mapping method for multi-objective optimal feedback control design in time domain for a nonlinear Duffing system with time delay. We first review the multi-objective optimization problem and its formulation for control design. We then introduce the cell mapping method and a hybrid algorithm for global optimal solutions. Numerical simulations of the PID control are presented to show the features of the multi-objective optimal design.     

An improved precise integration method for nonlinear dynamic system

In the present paper, based on the precise integration method established in linear dynamic system, an improved precise integration method is presented for nonlinear dynamic system. Firstly, the nonlinear dynamic system is converted into an augmented Lie type dynamic system. Then the precise integration method is improved for solving the above augmented equation and preserving its group structure in the meantime. Finally, two numerical examples are presented to demonstrate the validity and effectiveness of the proposed method.     

Active control for a flexible beam with nonlinear hysteresis and time delay

A new active control method is presented to attenuate vibrations of a flexible beam with nonlinear hysteresis and time delay. The nonlinear and hysteretic behavior of the system is illustrated by the Bouc—Wen model. By specific transformation and augmentation of state parameters, we can convert the motion equation of the system with explicit time delay to the standard state space representation without any explicit time delay. Then the instantaneous optimal control method and Runge—Kutta method in fourth-order are applied to the controller design with time delay. Finally, in order to verify the effectivity of the time-delay controller proposed, numerical simulations are implemented. It is indicated by the simulation results that the control performance will deteriorate if neglect the time delay in process of the controller design and proposed time delay controller works well with both small and large time delay problems.     

公路桥梁车辆耦合系统随机最优控制研究

为了研究公路桥梁车辆耦合系统随机振动的控制策略,本文基于1/4车辆-桥梁模型,采用随机最优控制中随机最优输出调节器对系统进行控制。算例分析表明:采用随机最优控制的系统竖向位移响应方差较无控制情况减小量达90%。该控制方法的应用可大大降低系统竖向位移响应方差,有效提高车辆行驶的平稳性。     

The invariant manifold method and the controllability of nonlinear control system

The problem of controllability of nonlinear control system is a significant field which has an extensive prospect of application. A.M.Kovalev of Ukraine Academy of Science applied the oriented manifold method developed in dynamics of rigid body to nonlinear control system for the first time and obtained a series of efficient results. Based on Kovalev’s oriented manifold method, firstly, by invariant manifold method the problem of controllability of nonlinear control system was studied and the necessary condition of the controllability of a kind of affine nonlinear system was given out. Then the realization of the necessary condition was discussed. At last, the motion of a rigid body with two rotors was investigated and the necessary condition which is satisfied by this system was proved.     

Symplectic multi-level method for solving nonlinear optimal control problem

By converting an optimal control problem for nonlinear systems to a Hamiltonian system,a symplecitc-preserving method is proposed.The state and costate variables are approximated by the Lagrange polynomial.The state variables at two ends of the time interval are taken as independent variables.Based on the dual variable principle,nonlinear optimal control problems are replaced with nonlinear equations.Furthermore,in the implementation of the symplectic algorithm,based on the 2N algorithm,a multilevel method is proposed.When the time grid is refined from low level to high level,the initial state and costate variables of the nonlinear equations can be obtained from the Lagrange interpolation at the low level grid to improve efficiency.Numerical simulations show the precision and the efficiency of the proposed algorithm in this paper.