Research on online parameter identification and adaptive control of UUV propulsion motor

被引：0
作者：
Liu Y.-C. [1 ]
Liu S.-Y. [1 ]
Wang C. [1 ]
Guo H.-H. [1 ]
Ren J.-J. [1 ]
Yu Y. [2 ]
机构：
[1] Marine Engineering School, Dalian Maritime University, Dalian
[2] Dalian Navigation Mark, The Ministry of Transport Beihai Maritime Security Center, Dalian
来源：
Liu, Si-Yuan | 2016年 / Editorial Department of Electric Machines and Control卷 / 20期
关键词：
Adaptive control; Parameter identification; Particle swarm optimization; Permanent magnet synchronous propulsion motor; UUV; Vector control;
D O I：
10.15938/j.emc.2016.04.005
中图分类号：
学科分类号：
摘要：
In vector control system of unmanned underwater vehicle (UUV) propulsion motor, due to the changes in motor parameters, current controller performance will decline. An adaptive control of permanent magnet synchronous propulsion motor current-loop based on online parameter identification is proposed. The stator resistance and dq axis inductance of the discrete dynamic of permanent magnet synchronous propulsion motor are identified by using the dynamic inertia weight particle swarm optimization, and then by the engineering procedures of the current controller, the identified motor parameters are utilized to dynamically calculate the PI value of current controller to achieve the adaptive control of current loop. Finally, the effectiveness of the proposed scheme is verified by the simulation experiments, and it follows from the results that the proposed scheme can effectively overcome the load disturbance caused by fast ocean currents such that the rapid and high precision current control performance of permanent magnet synchronous propulsion motor is achieved. © 2016, Harbin University of Science and Technology Publication. All right reserved.
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页码：34 / 40
页数：6
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