| 基于RBF神经网络的预测控制 |
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| 引用本文： | 宫赤坤,闫雪.基于RBF神经网络的预测控制[J].上海理工大学学报,2005,27(5):421-424. |
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| 作者姓名： | 宫赤坤 闫雪 |
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| 作者单位： | 上海理工大学,机械工程学院,上海,200093 |
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| 基金项目： | 上海市教委青年基金资助项目（Q40303） |
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| 摘 要： | 运用神经网络解决系统的非线性问题，用预测控制解决系统时滞问题．针对制冷系统膨胀阀控制回路具有时滞、非线性的特点，提出了将基于RBF神经网络的预测控制用于蒸发器过热度的控制．仿真与应用均表明该算法具有良好的动态响应和较强的鲁棒性，能够对蒸发器过热度进行有效的控制．
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| 关 键 词： | RBF网络 预测控制 膨胀阀 过热度 |
| 文章编号： | 1007-6735（2005）05-0421-04 |
| 收稿时间： | 2004-10-22 |
| 修稿时间： | 2004年10月22 |
Predictive control based on RBF neural network |
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| GONG Chi-kun,YAN Xue.Predictive control based on RBF neural network[J].Journal of University of Shanghai For Science and Technology,2005,27(5):421-424. |
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| Authors: | GONG Chi-kun YAN Xue |
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| Institution: | College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | Neural network is used to solve the nonlinear problem, and predictive control is used to overcome the dead-time problem. Aiming at expansion valve control loop in refrigeration system, the predictive control based on neural network is proposed to control the superheat in evaporator. The simulation and application show that this method is feasible with good dynamic responses and stronger robustness, and provide an efficient control of superheat in evaporator. The control results are better than that of PID control. |
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| Keywords: | RBF network predictive control expansion valve superheat |
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