微藻培养装置的温度控制算法研究

Research on Temperature Control Algorithm for Microalgae Automatic Culture Device

微藻培养装置是一个时变、非线性、纯滞后的复杂系统,传统温度控制算法难以获得良好的控制效果。为解决超调较大、振荡和控制精度较低等问题,提出了粒子群寻优的模糊-PID预估控制算法。首先利用系统辨识得到较为准确的系统模型;然后采用粒子群算法对PID的三个参数进行寻优,提高系统的稳态精度;最后将模糊-PID控制与Smith预估结合,减小时延对系统影响,提高系统自适应性。仿真结果表明,提出的控制策略具有响应快速、超调量小、鲁棒性强、控制精度高等优点,为微藻自动培养装置的温度智能控制设计提供了参考依据。

The temperature control for microalgae automatic culture device is a complex system with time-varying and nonlinear, where the traditional PID and fuzzy control method can not do well. This paper proposed a new compound control algorithm. At first, the system parameters were obtained by system identification, and the PID parameters were optimized by particle swarm optimization method. Then the Fuzzy-PID combined with Smith prediction was taken to decrease the influence of time delay. Simulation results show that the proposed algorithm performs better than traditional PID method and effectively improve the system dynamic performance, steady state accuracy and robustness.