船舶电力推进SSP电机应用IGA-ANFIS优化控制  

Optimal control of SSP motor for marine electric propulsion based on IGA-ANFIS

作　　者：张桂臣[1] 马捷[1] 

机构地区：[1]上海交通大学海洋工程国家实验室,上海200240

出　　处：《电机与控制学报》2011年第11期73-78,共6页Electric Machines and Control

基　　金：国家自然科学基金(51179102);中国博士后科学基金(20110490716)

摘　　要：为了改善船舶吊舱推进西门子-肖特尔-推进器(SSP)电机的控制性能,提出基于免疫遗传算法(IGA)与自适应神经模糊推理系统(ANFIS)的复合算法并应用于SSP电机的优化控制。分析SSP推进系统的工作原理及其复合控制模型,设计基于Siemens Sinamics的SSP吊舱推进半实物模拟系统,研究IGA-ANFIS的复合控制策略。该控制系统不是基于数学模型,应用ANFIS逼近SSP过程响应的动态模型I,GA以SSP的性能指标(最大超调量和过渡过程时间)来优化复合控制系数。在SSP模拟系统上进行IGA-ANFIS复合控制算法的实验研究,并与SIEMENS自整定PI控制器进行了比较。结果表明:该控制策略具有所需系统参数少、稳定性好的优点。In order to improve the control performance of Siemens-Schottel-propulsor（SSP） motor for the ship podded propulsion,the hybrid algorithm based on Immune genetic algorithm（IGA） and adaptive neuro-fuzzy inference system（ANFIS） was presented and applied to the optimal control of the SSP motor.The principle of the SSP propulsion system and its hybrid control model were analyzed in this paper,the hardware-in-the-loop simulation system of the SSP podded propulsion was designed and the IGA-ANFIS hybrid control strategy was researched.Instead of being concluded by mathematics model,with the utilization of both the ANFIS used to produce dynamic model of SSP process response and the IGA optimizes hybrid controller coefficients by the SSP performance criteria（maximum overshoot and setting time）.The IGA-ANFIS control strategy was experimentally investigated in the SSP simulation system and compared with the self tuning PI controller.The tested results show that the proposed control strategy has advantages of fewer parameters and more stability.

关 键 词：船舶电力推进 西门子-肖特尔-推进器 最优控制 免疫遗传算 自适应神经模糊推理系统 

分 类 号：U665[交通运输工程—船舶及航道工程]