论文部分内容阅读
本文提出一种具有参考模型的广义最小方差鲁棒自校正控制算法。采用鲁棒的估计器和改进加权因子的选择方法改善自校正控制的鲁棒性，通过选择参考模型确定系统的希望响应特性。对具有大间隙、摩擦、饱和、弹性、死区、滞后等固有本质非线性因素的大功率伺服系统进行实验研究，结果表明，由该算法构成的控制系统具有良好的动态响应、良好的鲁棒性和高的控制精度，可以广泛应用于地炮、火箭炮等要求高精度快速定位的系统中。
In this paper, a generalized minimum variance robust self-tuning control algorithm with reference model is proposed. Robust estimator and improved weighting factor selection method are used to improve the robustness of self-tuning control. The desired response of the system is determined by selecting reference model. The experimental study of high power servo system with inherent nonlinear factors such as large clearance, friction, saturation, elasticity, dead zone and hysteresis shows that the control system composed of this algorithm has good dynamic response and good robustness Sex and high control accuracy, can be widely used in artillery, rocket launchers and other requirements of high-precision rapid positioning system.