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首页> 外文会议>Chinese Control Conference >Design Optimal Temperature Control System Based on Effective Informed Adaptive Particle Swarm Optimization for Proton Exchange Membrane Fuel Cell
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Design Optimal Temperature Control System Based on Effective Informed Adaptive Particle Swarm Optimization for Proton Exchange Membrane Fuel Cell

机译：基于有效知识的自适应粒子群优化优化质子交换膜燃料电池设计最优温度控制系统

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摘要

A proton exchange membrane fuel cell (PEMFC) is applied as dependable power source. According to the experiments data, the influence of PEMFC operating temperature on its output performance is analyzed. An optimum operation temperature trajectory is achieved by a means of effective informed adaptive particle swarm optimization algorithm (EIA-PSO) with better equilibrium characteristic between global search and local search. Furthermore, a PID controller is utilized for design of a PEMFC control system based on the characteristic of optimal operation temperature. It is verified that EIA-PSO can make the reference governor fit the optimum operation temperature trace with higher precision. According to the experimental testing of stability and track ability, it is realized that the optimum operation temperature trace with the condition of various loads can be tracked by employing proposed control system so that the optimal output performance of PEMFC can be completed. Therefore, the proposed control system will make significant influence on designing the real-time temperature control system of PEMFC.
机译：质子交换膜燃料电池（PEMFC）被施加为可靠的电源。根据实验数据，分析了PEMFC工作温度对其输出性能的影响。通过具有有效知识的自适应粒子群优化算法（EIA-PSO）的方法实现了最佳操作温度轨迹，具有全局搜索和本地搜索之间的更好的均衡特征。此外，PID控制器用于基于最佳操作温度的特性设计PEMFC控制系统。验证EIA-PSO可以使参考调速器能够以更高的精度拟合最佳操作温度迹线。根据稳定性和轨道能力的实验测试，可以通过采用所提出的控制系统跟踪具有各种负载条件的最佳操作温度迹线，从而可以完成PEMFC的最佳输出性能。因此，所提出的控制系统将对PEMFC的实时温度控制系统进行显着影响。

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