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根据新一代装甲车辆推进系统热部件散热特点及其冷却系统调控原理,提出了一种单变量多目标数学规划与模糊智能控制相结合的控制算法。该算法将冷却系统抽象为单变量多目标数学规划问题,采用加权的方法将多个目标函数转化为综合目标函数,输入到模糊智能控制器中进行冷却控制。仿真结果表明:该控制算法具有良好的控制效果,能够有效地解决新型推进系统热源多、目标温度范围广而可调参数单一的问题。
According to the cooling characteristics of the hot parts and the control principle of the cooling system of a new generation of armored vehicle propulsion system, a control algorithm based on single variable multi-objective mathematical programming and fuzzy intelligence control is proposed. The algorithm abstracts the cooling system into a univariate multi-objective mathematical programming problem. The weighted objective method is used to convert multiple objective functions into a comprehensive objective function and input to the fuzzy intelligent controller for cooling control. The simulation results show that the proposed control algorithm has a good control effect and can effectively solve the problem that the new propulsion system has many heat sources, a wide range of target temperature and a single adjustable parameter.