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对中央空调器的水电气系统进行优化控制设计,提高中央空调器水电气系统的最大功率跟踪能力,减少因转动惯量耦合出现的输出误差。传统的中央空调器电气系统控制方法采用PID模糊同步控制方法,当中央空调器水电气系统外电场环境呈现一种非线性时变特性时,控制误差较大,功耗较高。提出一种基于变流量功率激励的中央空调器中变流量水电气系统的优化控制算法,设计中央空调器变流量水电气系统模型结构,通过对电动机转子的双闭环控制和速度调节,控制中央空调器的水电气系统的输出电流,设计三层前向神经元网络,基于变流量功率激励思想,设置迟滞控制算子,采用自适应算法在线调整权值,实现对变流量水电气系统的无阻尼非线性控制。仿真结果表明,该算法对中央空调器水电气系统的参数自适应控制性能较好,输出功率较高,中央空调器的工作效率提高。
Optimize the control design of the water and electricity system of the central air conditioner to improve the maximum power tracking ability of the water and electricity system of the central air conditioner and reduce the output error caused by the coupling of the moment of inertia. The traditional central air conditioner electrical system control method adopts PID fuzzy synchronous control method. When the electric field environment outside the central air conditioner water and electricity system presents a kind of nonlinear time-varying characteristic, the control error is larger and the power consumption is higher. This paper presents an optimization control algorithm of variable flow electrical and electronic systems in central air conditioners based on variable flow power excitation. The model structure of variable flow hydraulic and electrical systems of central air conditioners is designed. Through double closed-loop control and speed regulation of the motor rotor, Based on the idea of variable power excitation, a hysteretic control operator is set up and the weight of the water-electricity system is adjusted by using adaptive algorithm to realize the unbudied control of variable flow water and electricity system Nonlinear control. The simulation results show that this algorithm has better performance of adaptive control of water and electricity system of central air conditioner, higher output power and higher working efficiency of central air conditioner.