摘要
传统PID控制由于依赖于对象的数学模型和控制参数难以精确整定,针对非线性系统的控制过程中,控制系数很难达到最优。为此提出了一种基于T-S动态模糊微分模型的PID优化算法,利用T-S动态模糊模型对PID中的微分参数进行最优化求解,运用最优的模糊隶属度函数对PID中的微分参数进行最佳解的计算。从而解决PID控制的鲁棒性差及受模型限制的问题,实验仿真结果表明,该控制算法有较强的PID算法的抗干扰和适应参数变化及鲁棒性和自适应性,取得了不错的效果。
The traditional PID control because depends on the object＇s mathematical model and control parameters difficult to precise setting,in view of the nonlinear system control process,control factor is difficult to achieve optimal.Therefore proposed based on T-S fuzzy differential dynamic model PID optimization algorithm,the use of T-S fuzzy model to the dynamic differential PID parameter optimization algorithm,using the optimal fuzzy membership function to the differential PID parameters for the calculation of optimal solution.PID control so as to solve the robustness of difference and the model limit problem,experimental simulation results show that the control algorithm has strong PID algorithm of anti-interference and adapt to the parameter change and robustness and adaptability,has obtained the good effect.
出处
《科技通报》
北大核心
2013年第4期100-102,共3页
Bulletin of Science and Technology
基金
省级课题(GZY12C36)
