Control Of Propulsion Motor Research Articles

Research on Application of High-Frequency Pulse Vibration in Ship Electric Propulsion System

Aiming at the problems existing in the method of using sensors to detect the rotor position of marine main propulsion motor at low speed, a sensorless rotor position identification method based on high-frequency pulse vibration signal is proposed. In this method, the low-pass filter is used to separate the high-frequency signal component, and the current component of d-axis to q-axis is demodulated. The control mode of PI action law is used to phase-locked processing of the demodulated signal, in which purpose is to obtain the rotor position signal. The design method is simulated and verified by MATLAB/Simulink software. The error between the estimated position and the actual position of the rotor in the simulation waveform is small, and the accuracy is high. The simulation results show that this method can achieve good results when applied to the ship electric propulsion system without position sensor, which provides a theoretical reference for the design of marine main propulsion motor control system.

О моделировании нагрузки гребных электродвигателей ледоколов при проведении стендовых и виртуальных испытаний систем электродвижения

Object and purpose of research. This paper discusses ice loads on shaft-lines of icebreakers and ice-going ships as their propellers interact with ice. These loads are needed as inputs for development and fine-tuning of electric propulsion control systems, including those involving load test rigs, with the final purpose of ensuring reliable and safe operation of electric propulsion plants in ice navigation conditions. Materials and methods. This study is based on the publications about ice loads on shafting of electric propulsion plants. It analyses the terminology used in the papers on this subject. It also analyses the data on ice-induced shafting torques, as obtained from full-scale trials of Akademik Tryoshnikov ice-class research vessel. Main results. The paper describes typical cases of extreme ice loads on the propulsion system, with the input data characterizing these loads and needed, in particular, for numerical simulation of ice loads on shafting in order to fine-tune electric propulsion control system by means of computer-based simulations or laboratory tests. The paper shows the importance of considering the inertial elements of the shaft line for correct determination of limit loads. It also formulates the challenges that have to be solved in order to obtain efficient control systems for electric propulsion plants of icebreakers and ice-going ships. It determines the requirements to special full-scale trials needed to validate calculation methods for shafting loads. Conclusion. Electric propulsion systems of ice-going ships must have highly efficient control tools for the propulsion motor that would ensure its reliable and safe operation as propeller interacts with ice. Such a tool is quite hard to obtain because shafting loads are quite various and difficult to predict. One of the ways to improve an electric propulsion system is to build up a test rig with the load part simulating various scenarios of shafting loads as per the mathematical model specially developed for this purpose and validated by the accumulated database of full-scale ice loads on shaft lines. The paper also demonstrates that propulsion motor control system must properly take into account not only external loads but also inertial torques of shaft line, motor rotor and propeller with added water mass.

Optimization analysis of propulsion motor control efficiency

Optimization analysis of propulsion motor control efficiency

Optimal Control Strategy for Marine Ssp Podded Propulsion Motor Based on Strong Tracking-Epf

Abstract Aiming at the non-linearity of state equation and observation equation of SSP (Siemen Schottel Propulsor) propulsion motor, an improved particle filter algorithm based on strong tracking extent Kalman filter (ST-EKF) was presented, and it was imported into the marine SSP propulsion motor control system. The strong tracking filter was used to update particles in the new algorithm and produce importance densities. As a result, the problems of particle degeneracy and sample impoverishment were ameliorated, the propulsion motor states and the rotor resistance were estimated simultaneously using strong track filter (STF), and the tracking ability of marine SSP propulsion motor control system was improved. Simulation result shown that the improved EPF algorithm was not only improving the prediction accuracy of the motor states and the rotor resistance, but also it can satisfy the requirement of navigation in harbor. It had the better accuracy than EPF algorithm.

SSP Podded Propulsion Motor Control Based on SR-CDKF

In this paper,the rotor speed and the position of the SSP propulsion motor are estimated for building sensorless vector control system with speed and current double closed loops based on square root center difference Kalman filter (SR-CDKF) algorithm. This method makes use of the QR decomposition linear algebra techniques and so on, and it updates the matrix square-root of the state covariance by the Cholesky factor updating. This method can not only get the more steady results but also improve the estimation accuracy of the SSP podded propulsion system. Simulation result shows that the improved CDKF algorithm is not only more accurate but also has higher rate of convergence compared with CDKF speed controller.