基于单神经元自适应PID的汽轮机转速控制与仿真

Simulation of Turbine Speed Control System Based on Single Neuron Self-adaptive PID Controller

常规的汽轮机转速PID控制器参数整定困难,控制效果难以满足船用汽轮机控制需求。改进了基于单神经元的自适应PID控制器,提出了根据偏差按指数规律调整的比例系数K调整策略,将其应用到汽轮机转速控制中,仿真试验表明,该方法与传统的PID控制相比,具有超调小、响应快、自适应性强等优点,明显改善了汽轮机调速系统的控制品质。

Since the classical PID controller can＇t be easily adjusted, otherwise, it can＇t meet the control demand of the marine steam turbine, an improved single neuron adaptive PID control strategy, which adopted the proportional coefficient K exponentially according to the deviation, was presented. The simulation results show that the steam turbine DEH control control system based on improved single neuron adaptive PID controller, which has faster response speed, shorter regulate time and smaller oscillation ,improve the dynamic performance distinctly.