CAJ | 학술논문

在研究基于多层模糊控制的电力机车发动机调度方法中，传统的电力机车发动机调度算法采用经典控制模型或线性控制模型，鲁棒性差，无法达到最优的调度效能。为此提出一种基于多层模糊控制的电力机车发动机调度方法，采用多层模糊系统强大的输入输出非线性映射能力，在输入层，将输入数据模糊化为模糊控制器的输入数据，在输出层，将模糊控制器的输出解模糊为电力机车系统识别的控制信号，从而实现电力机车系统发动机的智能化调度。和传统的调度算法相比较，新调度算法具有更高的电能使用效率，约高于传统算法18%，算法响应时间短，稳定可靠，并且具有很强的鲁棒性，具有优越的应用性能。
재연구기우다층모호공제적전력궤차발동궤조도방법중，전통적전력궤차발동궤조도산법채용경전공제모형혹선성공제모형，로봉성차，무법체도최우적조도효능。위차제출일충기우다층모호공제적전력궤차발동궤조도방법，채용다층모호계통강대적수입수출비선성영사능력，재수입층，장수입수거모호화위모호공제기적수입수거，재수출층，장모호공제기적수출해모호위전력궤차계통식별적공제신호，종이실현전력궤차계통발동궤적지능화조도。화전통적조도산법상비교，신조도산법구유경고적전능사용효솔，약고우전통산법18%，산법향응시간단，은정가고，병차구유흔강적로봉성，구유우월적응용성능。
Study on the engine scheduling of electric locomotive based on multi-layer fuzzy control. In traditional method, the classic control model or linear control model was used. An engine scheduling module of electric locomotive based on multi-layer fuzzy control was proposed, the nonlinear mapping ability between input and output was used, in the input layer, the data was transformed into fuzzy controller input data, in the output layer, the fuzzy data was output as the electric locomotive system identification control signal. Compared with traditional scheduling algorithm, the new scheduling algorithm has about 18%higher energy efficiency, the algorithm responses with less time and it is stable, reli-able, the robustness of the algorithm is very good with perfect performance in application.