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基于阶跃响应的模糊预测函数控制 被引量:2

Fuzzy Predictive Functional Control Based on Step Response
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摘要 针对开环稳定的非最小相位系统,在基于阶跃响应模型的预测函数控制算法的基础上,提出了通过使用模糊推理的方法对控制量进行补偿的解决方案,从而达到在减小系统反调的同时加快系统响应速度的目的。最后将该策略应用于两个较典型的非最小相位系统,通过使用S函数编写程序在计算机中进行仿真实验研究。仿真实验结果表明,该方法不仅进一步的抑制了系统的反调,同时也缩短了过渡时间,并且具有良好的动态性能和较强的鲁棒性。 Considering Non- Minimum Phase System( NMPS), a solution for compensating the control input by fuzzy inference based on the predictive functional control algorithm using step response model is presented for decreasing undershoot and quickening the response. The proposed scheme is applied to 2 typical Non - Minimum Phase Systems by using S -function program in computer. The simulation results are given to illustrate that this controller can .decrease more undershoot and settling time, and the system has favorable dynamic performances and better robustness.
作者 叶化 赵曜
出处 《计算机仿真》 CSCD 2007年第1期167-169,共3页 Computer Simulation
关键词 阶跃响应 预测函数控制 非最小相位系统 模糊推理 Step response Predictive functional control Non - minimum phase system Fuzzy inference
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