DocumentCode
3296417
Title
Design of vector control based on MFAC for SSP podded propulsion
Author
Yao Wen-long ; Liu Yuan ; Zhang Jun-dong ; Sun Ming ; Zhang Gui-chen ; Shao Wei
Author_Institution
Coll. of Marine Eng., Dalian Maritime Univ., Dalian, China
fYear
2013
fDate
12-14 Dec. 2013
Firstpage
2418
Lastpage
2423
Abstract
The ship podded SSP(Siemens-Schottel-Propulsor, SSP) propulsion motor is a multivariable complex nonlinear plant with strong coupling and time-varying parameters. It is hard to reconcile the contradiction between the performance of anti-interference and response speed by self-adapt PI vector control during rough sea or navigation in harbor. It is difficult to obtain the system parameters accurately due to the load and the sea condition changes in actual. In order to solve this problem, a model-free adaptive vector control (MFA-VC) method is presented in this paper and applied to the ship podded SSP propulsion motor control system. The control design is model-free and just depends on the I/O data of the system, without requiring other priori, this makes it adaptable to various sea situations. The adjustable parameters are few, the computation is little. The proposed controller is compared with traditional PI vector control under the differents sea situations, simulation results illustrate the validity of the presented method.
Keywords
AC motors; PI control; adaptive control; angular velocity control; control system synthesis; electric propulsion; large-scale systems; machine vector control; marine propulsion; multivariable control systems; nonlinear control systems; time-varying systems; torque control; MFAC; SSP podded propulsion; Siemens-Schottel-Propulsor propulsion motor; model free adaptive vector control; motor control system; multivariable complex nonlinear plant; self-adapt PI vector control; time varying parameter; Adaptation models; Machine vector control; Marine vehicles; Motor drives; Permanent magnet motors; Propulsion; Torque; SSP propulsion motor; model-free adaptive control(MFAC); self-adapt PI; ship podded;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/ROBIO.2013.6739833
Filename
6739833
Link To Document