| 三级倒立摆的GA-PIDNN系统辨识 |
| |
| 引用本文： | 张秀玲,樊红敏,臧佳音,赵亮. 三级倒立摆的GA-PIDNN系统辨识[J]. 沈阳大学学报：自然科学版, 2014, 0(2): 113-118 |
| |
| 作者姓名： | 张秀玲 樊红敏 臧佳音 赵亮 |
| |
| 作者单位： | [1]燕山大学河北省工业计算机控制工程重点实验室,河北秦皇岛066004 [2]国家冷轧板带装备及工艺工程技术研究中心,河北秦皇岛066004 |
| |
| 基金项目： | 国家自然科学基金资助项目（50675186）. |
| |
| 摘 要： | 针对典型的不稳定、多变量、非线性、强耦合的三级倒立摆系统,建立了基于GA优化的PID神经网络(GA-PIDNN)辨识结构,完成了GA与BP两种算法的简单对比,并给出了MATLAB仿真结果.结果表明,GA-PIDNN对于非线性三级倒立摆的辨识是有效的,且GA优于BP算法.
|
| 关 键 词： | 三级倒立摆 辨识 PIDNN GA |
GA-PIDNN System Identification for Triple Inverted Pendulum |
| |
| Zhang Xiuling,Fan Hongmin,Zang Jiayin,Zhao Liang. GA-PIDNN System Identification for Triple Inverted Pendulum[J]. Journal of Shenyang University, 2014, 0(2): 113-118 |
| |
| Authors: | Zhang Xiuling Fan Hongmin Zang Jiayin Zhao Liang |
| |
| Affiliation: | 1. Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qnhuangdao 066004, China; 2. National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao 066004, China) |
| |
| Abstract: | Aiming at the typical instability, multi-variable, nonlinear, strong-coupling of triple inverted pendulum system, the PID neural network based on GA optimization （GA-PIDNN） identification structure is established. The simple comparison of GA and BP algorithm is completed. MATLAB simulation results are presented. The results show that GA-PIDNN identification of nonlinear triple inverted pendulum is effective, and the GA is better than BP algorithm. |
| |
| Keywords: | triple inverted pendulum identification PIDNN GA |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
