To study the application of the sequential gradient-restoration algorithm in lifting reentry vehicle(LRV) trajectory optimization, transformation process of control constraints and trajectory constraints was presented. Considering strong nonlinearity of reentry dynamic, state integral was introduced,and update method of the sequential gradient-restoration algorithm was improved. The practicability of improved algorithm for quasi-smooth trajectory optimization of lifting reentry vehicle was comparatively analyzed. Simulation results show that transformation method of constraints is effective, and the convergence speed and optimization results of the improved algorithm are better than those of the original algorithm. A quasi-smooth trajectory of LRV satisfying trajectory constraints and boundary conditions can be obtained in the short period of time by the improved algorithm. Therefore, the improved algorithm has high potential for application and development in trajectory optimization of vehicle.%为研究序列梯度-修复算法在升力式再入飞行器轨迹优化中的应用,给出了控制量约束、过程约束的转化过程,同时结合再入飞行器的强非线性,引入了状态积分,改进了序列梯度-修复算法的更新方法,对改进的算法在升力式再入飞行器拟平滑轨迹优化中的实用性进行了比较分析.仿真结果表明：给出的约束处理方法合理有效;改进的序列梯度-修复算法较原始算法在收敛速度和优化效果上有明显提升,能在更短的时间内获得一条满足约束的升力式再入飞行器拟平滑轨迹,在飞行器轨迹优化中具有较强的应用和发展潜力.
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