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通常,飞行控制系统的时间响应是一些变量,如放大器的放大系数或速率陀螺的灵敏度的函数。在这篇论文里,提出和研究了一种用于选择这些控制变量最优组合的有效的非线性规划步骤。为了说明这种控制系统的分析方法,把喷气式运输机的俯仰方向驾驶仪作为一个例子,这个特殊的系统依赖于两个控制变量,这两个参数的变化将产生一系列的系统响应。然后根据过渡过程时间响应的特性建立性能指标,并且通过控制变量使其最小,用以得到最优的系统响应。用增长时间、阻尼比、峰值超调量三个参数来定义性能指标。对于基本系统的解,当利用罚函数,对阻尼比、峰值超调量两者加以不等式约束时,可使增长时间最小,然后导出和分析一组解,可把它们与经典分析方法导出的另外的解相比较。
In general, the time response of a flight control system is a function of some variables, such as the amplification factor of the amplifier or the sensitivity of the rate gyro. In this paper, an efficient nonlinear programming procedure for choosing the optimal combination of these control variables is proposed and studied. To illustrate this method of control system analysis, taking the pitch-direction pilot of a jet transporter as an example, this particular system relies on two control variables. Changes in these two parameters will produce a series of system responses. Then according to the characteristics of the transient process time response to establish performance indicators, and through the control variables to minimize, in order to get the optimal system response. With the growth time, damping ratio, peak overshoot three parameters to define performance indicators. For the basic system solution, when the penalty function is used, the inequality constraints on the damping ratio and the peak overshoot can minimize the growth time, and then a set of solutions can be derived and analyzed, which can be compared with those derived by the classical analytical methods The solution is compared.