基于变论域模糊PID的航空转台控制系统研究

航空转台是进行地面仿真的关键设备，其控制系统的随动性对地面仿真结果有很大影响。围绕航空转台的控制结构和算法策略，提出使用粒子群优化算法迭代寻优以保证论域最佳的变论域模糊比例积分微分(proportion integral differential，PID)控制策略。以MATLAB作为仿真环境，分析本文所提算法策略的优化效果，仿真结果表明该控制策略相较于常规PID的时间乘绝对误差积分准则(ITAE)指标有显著提升。搭建以可编程多轴运动控制卡(programmable multi-axes controller，PMAC)控制器为核心的航空转台实物测试系统进行算法验证，实验结果表明，基于变论域模糊 PID的航空转台控制系统可使航空转台的控制精度得以显著提升，超调量更小，调节时间更短，同时具备实用性，极大地提高了航空转台控制系统的随动性。

An aviation turntable control system based on a variable universe fuzzy proportion integral differential (PID)

Aviation turntables are a key component in ground simulation and their control system follow-up has a significant influence on the ground simulation results. By focusing on the control structure and algorithm strategy for aviation turntables, a variable universe fuzzy proportion integral differential (PID) control strategy using particle swarm optimization algorithm iterative optimization has been proposed in an effort to ensure the best universe. Using MATLAB as the simulation environment to analyze the optimization effect of the algorithm strategy, the simulation results show that the control strategy is significantly improved compared to the ITAE index (time multiplied by absolute error integral criterion) of conventional PID. An aeronautical turntable physical test system with a programmable multi-axes controller (PMAC) motion controller as the core was built to verify the algorithm. The experimental results show that the aerospace turntable control system based on variable universe fuzzy PID significantly improves the control accuracy of the aeronautical turntable. The overshoot is smaller, the adjustment time is shorter, and it is practical, which greatly improves the followability of the control system of the aviation turntable.