Research of Sliding Mode Controller with Improved AGA for Supercharged Boiler Drum Water Level
-
摘要: 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,应对大负荷扰动下上锅筒水位控制方法进行研究。提出一种基于改进的自适应遗传算法的增压锅炉上锅筒水位滑模控制方法。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,用李雅普诺夫稳定性原理证明了其稳定性。在此基础上,用改进的自适应遗传算法优化滑模控制器。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控制方法进行了比较。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5s,超调量也小于PID。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: It is difficult to control drum water level of supercharged boiler because of the strong load disturbance in voyage process. In order to ensure the stability of drum water level, it is necessary to study the control method of drum water level under strong load disturbance. In this paper we propose a sliding mode controller with improved adaptive genetic algorithm (AGA). We take the velocity and accelerated speed of drum water level error into s-function to design the sliding mode controller. And prove its stability by using Lyapunov stability theorem. On this basis, sliding mode controller parameter was optimized with improved AGA. We compare the control performance of sliding mode controller with improved AGA and PID controller. In response to the ramp disturbance signal and step disturbance signal, sliding mode controller with improved AGA can track the input signal without error. Its stability time is 5s shorter than PID, and overshoot is also less than PID. The simulation results show that sliding mode controller with improved AGA is better than PID controller.
-
计量
- 文章访问数: 164
- 被引次数: 0