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Optimization of gas turbine engine control using dynamic programming

机译:用动态规划优化燃气涡轮发动机控制

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The aim of engine control optimization is to derive the optimal control law for engine operation managing during the aircraft flight. For numerical modeling a continuous flight process defined by a system of differential equations is replaced by a discrete multi-step process. Values of engine control parameters in particular step uniquely identify a system transitions from one state to another. The algorithm is based on the numerical method of dynamic programming and the Bellman optimality principle. The task is represented as a sequence of nested optimization subtasks, so that control optimization at the first step is external to all others. The optimum control function can be determined using the minimax principle of optimality. Aircraft performance calculation is performed by numerical integration of differential equations of aircraft movement.
机译:发动机控制优化的目的是导出航空器飞行期间发动机运行管理的最佳控制法。对于数值建模,由微分方程系统定义的连续飞行过程被离散的多步骤更换。特定步骤中的发动机控制参数的值唯一地标识从一个状态到另一个状态的系统转换。该算法基于动态规划的数值方法和贝尔曼最优性原理。任务表示为嵌套优化子任务序列,使得第一步的控制优化是所有其他的外部。可以使用最佳最优性原理来确定最佳控制功能。通过飞机运动的微分方程的数值集成来执行飞机性能计算。

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