改进自适应遗传算法优化的船用增压锅炉上锅筒水位滑模控制方法

Sliding mode controller with improved AGA for supercharged boiler drum water level control

    摘要
  • 摘要:
    目的 船用增压锅炉的上锅筒水位由于航行中负荷的频繁变化，难以获得理想的控制效果。为了保证上锅筒水位的稳定，对大负荷扰动下的上锅筒水位控制方法进行研究。提出一种基于改进自适应遗传算法优化的增压锅炉上锅筒水位滑模控制方法。
    方法 将上锅筒水位偏差的速度和速度变化率引入S函数来设计滑模控制器，采用李雅普诺夫稳定性原理证明其稳定性。在此基础上，利用改进的自适应遗传算法优化滑模控制器。
    结果 将改进的自适应遗传算法优化的增压锅炉上锅筒水位滑模控制方法与传统的PID控制方法进行了对比分析。在响应斜坡扰动信号和阶跃扰动信号时，改进自适应遗传算法优化的滑模控制器均能够无差跟踪输入信号，其稳定时间比PID缩短5 s，超调量也小于PID。
    结论 仿真结果表明，改进自适应遗传算法优化的滑模控制方法具有更优的控制效果。

     

    Abstract:
    Objectives It is difficult to control the drum water level of a supercharged boiler due to the strong load disturbance in the sailing process. In order to ensure the stability of the drum water level, it is necessary to study drum water level control methods under strong load disturbance. To this end, this paper proposes a sliding mode controller with an improved adaptive genetic algorithm (AGA).
    Methods The velocity and accelerated speed of the drum water level error is combined with an S-function to design a sliding mode controller. Its stability is then proven using the Lyapunov stability theorem. On this basis, the sliding mode controller parameters are optimized with the improved AGA.
    Results The control performance of the sliding mode controller with improved AGA is compared with that of a PID controller. In response to ramp disturbance signals and step disturbance signals, the sliding mode controller with improved AGA can track the input signal without error. Its stability time is 5 s shorter than that of the PID and its overshoot is lower than that of the PID.
    Conclusions The simulation results show that the sliding mode controller with improved AGA is superior to the PID controller.

     

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