基于扰动观测器的炮控系统自适应鲁棒控制

针对坦克快速运动过程中火炮控制系统存在一系列复杂的非线性问题，提出一种自适应鲁棒控制方法。结合自适应控制智能优化自身参数的特点和鲁棒控制的稳定性特点，通过设计一种能够实时准确测定扰动项扰动观测器加入到控制策略中，从而精确补偿扰动。仿真结果表明：该控制策略能较好地提升炮控系统的抗干扰能力和稳定性，有效提高坦克行进间的射击精度。

Adaptive Robust Control of Gun Control System Based on Disturbance Observer

An adaptive robust control method is proposed to solve a series of complex nonlinear problems in the guncontrol system during the rapid movement of the tank. Combining the characteristics of intelligent optimization ofself-parameters in adaptive control and the stability of robust control, a disturbance observer which can accurately measurethe disturbance term in real time is designed and added to the control strategy, so as to accurately compensate thedisturbance. The simulation results show that the control strategy can improve the anti-interference ability and stability ofthe gun control system, and effectively improve the firing accuracy when the tank is moving.