针对目前电气自动控制器自动进行数据调试的能源消耗量大、待机状态控制效果差等问题,提出基于粒子群优化的电气自动节能控制器.该设计选用SYU-213型号的节能控制器,硬件上对自动控制器进行了优化设计,保证各种状态的有效切换.在软件设计中引入粒子群优化下的卡尔曼算法,能够在不同状态下进行快速的能源降耗.实验结果表明,所设计的基于粒子群优化的电气自动节能控制器可以有效降低电气自动控制的能耗,且在待机状态下仍可进行节能控制.%Aiming at the big energy consumption and poor standby state control effect of automatic data debugging for the current electric automatic controller,the electric automatic energy-saving controller based on particle swarm optimization is pro-posed. The SYU-213 energy-saving controller is selected in the design and the automatic controller is optimized in hardware de-sign to ensure the effective switching of various states. The Kalman filter algorithm under particle swarm optimization is intro-duced in software design to carry out rapid energy saving under different conditions. The simulation results show that the de-signed electric automatic energy-saving controller based on particle swarm optimization can effectively reduce the energy con-sumption of electric automatic control,and carry out the energy-saving control even if it is in standby state.
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