摘要
网络控制系统中时延是影响控制性能的一个主要因素,本文提出了一种基于Fuzzy预测器的非线性网络控制系统的时延补偿方法。首先通过输入输出缓冲使时延固定,然后以对象的数学模型为基础对时延进行预测,通过Fuzzy控制器、观测器和预测器得到经过时延补偿后的控制量,最后采用分离性定理证明了基于模糊观测器、预测器及控制器设计的闭环控制系统的稳定性。仿真结果验证了算法的有效性。
A novel fuzzy-predictor-based delays compensating algorithm for nonlinear networked control systems is presented in this paper. The stability of the closed-loop system is proved in the design of fuzzy controller, fuzzy observer and fuzzy predictor based on the Takagi - Sugeno (T - S) fuzzy model by using separation property. Simulation results illustrate the effectiveness of the presented algorithm.
出处
《苏州大学学报(工科版)》
CAS
2005年第6期5-9,共5页
Journal of Soochow University Engineering Science Edition (Bimonthly)
基金
国家自然科学基金资助项目(编号60474034)