基于模糊单神经元PID的比例同步控制研究

针对传统PID算法在液压同步系统中整定困难、稳定性不佳、同步效果不理想的问题,提出一种基于模糊单神经元PID复合算法的双缸耦合同步控制策略,提高同步系统的性能。建立比例阀控非对称缸双缸同步系统数学模型;利用Simulink软件,对比分析传统PID算法、单神经元PID算法和模糊单神经元PID算法的控制效果;最后通过试验验证3种控制策略下的系统同步性能。试验结果表明:使用模糊单神经元PID的耦合控制策略,系统同步误差明显减小,响应速度更快,设计的控制策略有效。

Research on Proportional Synchronous Control Based on Fuzzy Single Neuron PID

Aiming at the problems of difficult setting,poor stability and unsatisfactory synchronization effect of traditional PID algorithm in hydraulic synchronization system,a double cylinder coupling synchronization control strategy based on fuzzy single neuron PID compound algorithm was proposed to improve the performance of synchronization system.The mathematical model of the proportional valve controlled asymmetric cylinder synchronization system was established.Simulink software was used to compare and analyze the control effect of traditional PID algorithm,single neuron PID algorithm and fuzzy single neuron PID algorithm.The system synchronization performance under the three control strategies was verified by experiments.The experimental results show that using the fuzzy single neuron PID coupling control strategy,the synchronization error of the system can be significantly reduced,and the response speed is faster.The designed control strategy is effective.