| 欧阳慈，黄向华.基于深度信念网络的船用燃气轮机自适应控制[J].航空发动机,2018,44(4):45-50 |
| 基于深度信念网络的船用燃气轮机自适应控制 |
| Adaptive Control of the Marine Gas Turbine Based on Deep Belief Network |
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| DOI： |
| 中文关键词: 船用燃气轮机 深度信念网络 自适应控制 仿真 |
| 英文关键词:marine gas turbine deep belief network adaptive control simulation |
| 基金项目:国家自然科学基金（51576097）资助 |
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| 中文摘要: |
| 针对船用燃气轮机非线性强、惯性大和负载多变等特点，提出1 种基于深度信念网络的自适应控制器。该控制器结合了
深度信念网络和传统PID 控制器，利用深度信念网络对燃气轮机的转速误差信息以及负载状态提取实时特征，在线调节PID 参数，
并将参数传递给PID 控制器，由其输出控制量。通过数字仿真验证表明：该控制器满足燃气轮机转速控制的要求，并且具有良好的
自适应性，在不同工况下，能够对燃气轮机转速进行准确控制，使得系统快速响应的同时无超调量。 |
| 英文摘要: |
| According to the characteristics of marinegas turbine such as strong nonlinearity，large inertia and changeable load，an
adaptive controller was proposed based on deep belief network. Based on the traditional PID controller ,the deep belief network was used to
extract the speed fault information and load state of the gas turbine real time. It adjusted the PID parameters online and passed the
parameters to the PID controller which outputs the control quantity.The results of digital simulation show that the controller meets the
requirement of gas turbine speed control and has good adaptability. It can accurately control the speed of gas turbine, so that the system can
respond quickly without overshoot at the same time. |
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