针对传统PID控制器因参数无法随负载变化而实时改变，导致火炮随动系统控制效果不佳的问题，设计了以空间矢量控制为理论基础的三闭环随动控制系统。该随动控制系统采用永磁同步电机(PMSM)作为执行电机，并在系统位置环上加入了经自适应模拟退火粒子群优化算法(ASAPSO)优化参数后的模糊控制器。通过搭建系统仿真模型，将这2种控制器分别运用在该随动控制系统的位置环上，对比了2种控制器的位置响应、抗转矩扰动能力和目标跟踪能力。结果发现，模糊控制器的参数经ASAPSO优化后，系统的静态特性和动态特性比传统PID控制器更好，能够有效克服转矩扰动等非线性因素的影响，系统具有较好的目标跟踪性能。

The parameters of traditional PID controller cannot be changed in real time with the change of load, which leads to the poor control effect of artillery servo system. In order to solve the problem, a three-closed-loop servo control system based on space vector control is designed. The permanent magnet synchronous motor (PMSM) is used as the executive motor, and a fuzzy controller optimized by adaptive simulated annealing particle swarm optimization (ASAPSO) is added to the position loop of the system. The proposed controller and traditional PID controller are applied to the position loop of the servo control system. The position response, anti-torque disturbance ability and target tracking ability of the two controllers are compared by building the system simulation model. The results show that the static and dynamic performances of the proposed controller are better than that of the traditional PID controller when the parameters of the fuzzy controller are optimized by ASAPSO. The system can effectively overcome the influence of nonlinear factors such as torque disturbance, and it has good target tracking performance.