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为了解决变域传热发汗冷却系统中热防护、克服热障等问题。设计了一种基于径向基函数神经网络的预测算法,实现对温度场的优化控制。通过仿真结果可知,该控制策略与传统的PID控制相比有着更好的鲁棒性和稳定性。
In order to solve the variable heat transfer sweat cooling system in the thermal protection, to overcome the thermal barrier and other issues. A prediction algorithm based on radial basis function neural network is designed to realize the optimal control of temperature field. The simulation results show that this control strategy has better robustness and stability than the traditional PID control.