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On-line Reentry Trajectory Optimization of Hypersonic Vehicle Based on Improved Gauss Pseudospectral Method

机译:基于改进高斯伪谱方法的高超音速飞行器在线再入弹道优化

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The improved Gauss pseudospectral method (IGPM) with the linear final state constraint is proposed to solve the Bolza problem. The Bolza problem is disrcetized into the nonlinear programming problem (NLP) by the approximations of the state and the costate at the Legendre-Gauss (LG) points and the boundary points. The differential of the state can be expressed as the linear combination of the states at the discrete points approximately. Therefore, the dynamic equations can be transformed into the algebraic equations and the cost is also expressed as the function of the state and the control. The costate mapping theorem is derived to compute the costate directly. The methods to compute the initial costate and the boundary controls are given for completing the IGPM. The NLP is solved by the sequential quadratic programming method. It is easy to check the optimality of the solution. The proposed method is utilized to solve the the reentry trajectory optimization problem of the hypersonic vehicle. The results shown that the The computer time for solving the problem is about 3 seconds. Therefore, this method can be used to generate the optimal trajectory of the hypersonic vehicle on line.
机译:提出了一种具有线性最终状态约束的改进高斯伪谱方法(IGPM)来解决Bolza问题。通过在勒让德高斯(LG)点和边界点处的状态和代价近似,将Bolza问题分解为非线性规划问题(NLP)。状态的微分可以近似表示为离散点处状态的线性组合。因此,可以将动力学方程式转换为代数方程式,代价也表示为状态和控制的函数。推导了costate映射定理以直接计算costate。给出了计算初始成本的方法和边界控制以完成IGPM。 NLP通过顺序二次编程法求解。检查解决方案的最优性很容易。该方法用于解决高超音速飞行器的再入轨迹优化问题。结果表明,计算机解决问题的时间约为3秒。因此,该方法可用于在线生成高超音速飞行器的最佳轨迹。

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