GPC算法在火炮随动系统中的仿真研究

摘要

计算机技术和数字化技术的发展，使得构成火炮随动系统的各元件，从质量和性能上都有了很大的提高；随着硬件的制造工艺有了很大改进，使得软件可做到更加精确，在使控制率的设计、调整和维护更加便捷可靠的同时，对于控制中存在的非线性和不确定性因素的影响，用软件设计算法比硬件更简洁且便于维护。本文使用GPC算法对CARIMA模型（受控自回归积分滑动平均过程模型）进行模拟仿真，使用多步预测、滚动优化的方法检验算法在受到非平稳随机扰动的不稳定系统中的控制性能。仿真结果证实了该控制策略的优越性。%The quality and performance of the elements which form the gun servo system have been greatly improved by the development of computer and digital technology. As the hardware manufacturing process has been greatly improved, the software can achieve more accurate and therefore, the the design, adjustment and maintenance of control rate could be more convenient. At the same time, it＇s more concise and convenient maintenance using software than hardware design algorithm in the control of nonlinear and uncertain factors This paper uses the GPC algorithm for CARIMA model （ controlled autoregressive integrated moving average process model ）simulating, and testing the instability of system control performance under non-stationary random perturbations using multiple prediction, rolling optimization method inspection algorithm. At last the simulation results confirmed that the superiority of the proposed control strategy