CAJ | 학술논문

针对干熄焦提升机定位系统具有多变量及存在随机电磁干扰的特点，通过采用RBF神经网络学习算法，实时在线辨识，建立被控对象的精确数学模型并用于控制，实现了当定位系统受强电磁干扰时，系统仍然能够保障提升机正常运行。应用结果表明，该智能控制系统既保证了干熄焦提升机定位系统的稳定性，又提高了对工况电磁干扰的适应性。
침대간식초제승궤정위계통구유다변량급존재수궤전자간우적특점，통과채용RBF신경망락학습산법，실시재선변식，건립피공대상적정학수학모형병용우공제，실현료당정위계통수강전자간우시，계통잉연능구보장제승궤정상운행。응용결과표명，해지능공제계통기보증료간식초제승궤정위계통적은정성，우제고료대공황전자간우적괄응성。
CDQ Hoist positioning system has some special characteristics such as multivariate input and output and random electro?magnetic interference. A precise model was constructed,which is in accordance with the characteristics of Hoist positioning system. The RBF neural network model can realize precise control and on-line identification,so that Hoist positioning system can work normally in the case of electromagnetic interference. Application results show that the intelligent control system not only can ensure stability of CDQ Hoist positioning system,but also improve adaptability to electromagnetic interference.