基于摩天轮优化的空调机组间歇启停控制研究

Research on Intermittent Start-Stop Control of Air Conditioning Units based on Ferris Wheel Optimization

摘要:

由于生产环境对车间热效应的非线性影响，导致传统参数识别的精度不足，影响了空调机组启停控制效果。提出了摩天轮优化算法用于识别空调热阻和热容参数，利用三角函数模拟摩天轮圆周运动，采用可调角速度和半径改变摩天轮速度变化，实现自适应搜索；引入相位差用于模拟不同座位启动的启动时间差，增加搜索多样性；引入向心力用于改变摩天轮稳定运行时的平衡位置，避免了早熟收敛。接着将温度达标、能源消耗和启停转换频率纳入优化目标，建立等效热参数辨识条件下的空调机组间隙性启停控制模型，采用摩天轮算法寻优车间空调系统的最佳启停控制。仿真结果表明：摩天轮算法辨识精度最高，综合误差值降低到0.3026%，车间温度波动幅度不超过2%，空调启动次数下降率最高，达到5.83%，能耗下降率最高，达到2.02%，提升了节能效果与车间舒适度。

Abstract:

Considering the nonlinear influence of the production environment on the thermal effect in the workshop, the accuracy of traditional parameter identification is insufficient, and the effectiveness of the start-stop control of air conditioning units is affected. A Ferris wheel optimization algorithm is proposed to identify the thermal resistance and thermal capacitance parameters of the air conditioning system. Trigonometric functions are used to simulate the circular motion of the Ferris wheel. Adjustable angular velocity and radius are adopted to change the speed variation of the Ferris wheel, and adaptive search is achieved. A phase difference is introduced to simulate the start time difference of different seats, and search diversity is increased. Centripetal force is introduced to change the equilibrium position during the stable operation of the Ferris wheel, and premature convergence is avoided. Then, temperature compliance, energy consumption, and start-stop switching frequency are included in the optimization objectives. An intermittent start-stop control model for air conditioning units under equivalent thermal parameter identification conditions is established. The Ferris wheel algorithm is used to optimize the best start-stop control for the air conditioning system in the workshop. The simulation results show that the identification accuracy of the Ferris wheel algorithm is the highest. The comprehensive error value is reduced to 0.3026%. The temperature fluctuation in the workshop does not exceed 2%. The reduction rate of air conditioning starts reaches the highest value of 5.83%. The energy consumption reduction rate reaches the highest value of 2.02%. Energy-saving effects and workshop comfort are improved.