论文部分内容阅读
针对三轴飞行姿态仿真转台中框架双电液伺服马达同步驱动系统的特点和技术要求，采用自适应神经元网络控制策略，实现了两通道的静态解耦．仿真结果表明，自适应神经元网络控制以其特有的自学习、非线性等优点，使控制系统具有良好的动态性能及强的鲁律性与适应性，取得了良好的同步效果。
According to the characteristics and technical requirements of the synchronous dual-servo system of three-axis flight attitude simulation turntable, the adaptive neural network control strategy is adopted to realize the static decoupling of the two channels. The simulation results show that the adaptive neuron network control has good dynamic performance, strong robustness and adaptability with its unique self-learning and non-linearity, and achieved good synchronization results.