基于单神经元PID控制器的压电陶瓷控制方法

卫星地面综合测试是卫星研制过程中的重要环节，对系统功能验证及性能评估具有重要作用。传统的卫星地面综合测试系统存在研制周期长、投入较大、自动化流程不够完整、可重用性较差等不足。而北斗导航卫星地面综合测试系统采用分布式、高实时性、可配置、多主机的集成体系结构，是集计算机通讯、实时控制、实时数据处理、事后分析等功能于一体的测试系统，适用于从卫星总装集成到发射各个阶段的电气测试。通过卫星系统级的各项接口、功能、性能指标测试，表明该系统满足支持系统论证、状态确认、问题排查等测试需求，有力支撑了北斗导航卫星的成功发射和在轨运行。

The Control Method for Piezoelectric Actuator Based on Single Neuron PID Controller

Hysteresis nonlinearity is the intrinsic characteristic of piezoelectric actuator. In this paper, hysteresis curve of PZT is obtained under different conditions through experimental tests, then the characteristics of hysteresis is further analyzed. According to the above analysis and the data obtained by the measurement, the neural network hysteresis model based on polynomial fitting algorithm is established, and the model can reflect the hysteresis of PZT accurately. Based on this Model, feed-forward control and neuron self-adaptive PID algorithm is applied. The hysteresis error of piezoelectric actuator has been compensated and the output displacement of piezoelectric actuator can be controlled precisely. Thus the hysteresis effect of piezoelectric on micro-positioning system is diminished. Simulation results show that the mean relative error is reduced to 1.34% . This indicates that positioning accuracy of micro/nano-positioning system has been improved , and the system itself has certain self-adaptability and anti-interference ability.