|
|||||
|
|
| 谷物干燥过程模糊支持向量机控制器的设计 | |
| 引用本文： | 朱德泉,钱良存,骆敏舟.谷物干燥过程模糊支持向量机控制器的设计[J].电子测量与仪器学报,2009,23(4):80-85. |
| 作者姓名： | 朱德泉 钱良存 骆敏舟 |
| 作者单位： | 1. 安徽农业大学工学院,合肥,230036;中国科学院合肥智能机械研究所,合肥,230031 2. 安徽农业大学工学院,合肥,230036 3. 中国科学院合肥智能机械研究所,合肥,230031 |
| 基金项目： | 安徽省自然科学基金，安徽省高等学校省级自然科学研究项目 |
| 摘 要： | 为了准确控制谷物干燥过程的温度和湿度，设计了一种基于改进遗传算法和最小二乘算法的干燥过程模糊支持向量机控制器。利用模糊算法解除温湿度的耦合作用，采用支持向量机实现模糊逻辑控制的全过程和信号的非线线处理，同时采用混合学习算法优化控制器参数，即先采用最小二乘算法离线优化支持向量机性能参数，再采用改进遗传算法在线优化支持向量机性能参数和模糊比例因子，以使其控制性能适应对象的变化而达到最优。仿真结果表明，设计的模糊支持向量机控制器比常规PID控制器和经典模糊控制器具有更好的控制性能，能够满足谷物干燥工艺要求。 |
| 关 键 词： | 干燥 最小二乘支持向量机 遗传算法 温度 湿度 |
Design of fuzzy support vector machines controller for drying process of grain |
|
| Zhu Dequan,Qian Liangcun,Luo Minzhou.Design of fuzzy support vector machines controller for drying process of grain[J].Journal of Electronic Measurement and Instrument,2009,23(4):80-85. | |
| Authors: | Zhu Dequan Qian Liangcun Luo Minzhou |
| Affiliation: | 1. College of Engineering;Anhui Agricultural University;Hefei 230036;China;2. Institute of Intelligent Machines;Chinese Academy of Sciences;Hefei 230031;China |
| Abstract: | To accurately control temperature and humidity for drying process of grain, fuzzy support vector machines controller for drying process was designed based on improved genetic algorithm and least square Algorithm. Fuzzy algorithm was used to decouple between temperature and humidity. Using support vector machines, fuzzy logical control of complete process and treatment of non-linear signal were realized. The controller parameters were optimized by hybrid learning algorithm. First, least square algorithm was ... |
| Keywords: | drying least square support vector machine genetic algorithm temperature humidity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |