Chen Yutao

Dynamic modeling and simulation of marine diesel engine using Elman networks

CODAD propulsion plants are complicated systems with hull, engine and propeller operating together. It is very important to control the loads transferring from one diesel engine operating mode to twin engines operating. During the development phase of the diesel load sharing controller, the system simulation can be used as a tool to support test and verification of the complex control algorithms. The simulation models should accurately reflect the dynamic performances of the system, especially diesel engines which is high nonlinear, time-variant and cannot be linearized owing to its wide operating range. This paper presents a modeling method, based on Elman network, of diesel engines represented only by measurement data. Comparing the measurements from a test bench and the simulation results shows that the model based on the neural network modeling method can represent dynamic behaviors of the diesel engine with good precision.

Multi-Function Simulated Research Platform for Marine Electric Propulsion System

As the simulation technology, extend function and its application of marine simulator has improved rapidly in recent years. A multi-function simulated research platform for marine electrical propulsion system which includes training operator, hardware in loop simulation for DCS controller trim, real-time performance calculation, and data management is presented in this paper. The prime and extend function is introduced, and the design process and thoughts is described in details. The main focus of this paper is in the development of marine simulated research platform which suit for different kinds of electric propulsion system, and can be applied during the whole service life cycle of the electric propulsion ship.

Research on Distributed Multi-agent Control Architecture of Complex Systems

In consideration of the complexities and the increasing demand for intelligent management of shipboard auxiliary systems, the technology of multi-agent is introduced into the intelligent control of these systems in this paper. Take the chilled-water system as an example, the scheme for hybrid distributed multi-agent control architecture of complex systems is proposed, and the key problems are discussed in detail. The software redundancy is created and fault tolerance is achieved by organizing three replications of critical agents into a logical ring within this architecture. The research can help to improve the automation level, the fault tolerant capability, and the flexibilities of complex systems.

Research on optimal resource allocation of shipboard fluid system based on multi-agent

In consideration of the diversity of ship mission, uncertainty of the environment and the requirements for the intelligent management of marine power platform, the technology of multi-agent is introduced into the autonomous operation of shipboard fluid system and the hierarchical architecture of multi-agent intelligent control is presented. The method of optimal resource allocation with the existence of uncertainty is analyzed. Firstly, the resource allocation problem is formulated as a loosely coupled Markov decision process (MDP) and the multi-agent MDP model is established. Then the optimal resource allocation is achieved by following the optimal policy which is obtained by using genetic algorithm (GA) based on the model. Lastly, the performance of the optimal policy is examined in the emulation. The research can afford some academic guidance for raising the level of intelligence, reducing the manpower for ship operation, and increasing the mission effectiveness.

Control oriented real time model of marine powerstation diesel engine based on neural network

to build a precise and real time model is a key issue in fulfilling on optimal control of marine power station diesel engine in the hardware-in-the-loop simulation system. In this paper, a control oriented real time model for marine power station diesel engine is proposed based on neural network. After establishing the quasi-steady model of diesel, the hybrid model based on the compensation of neural networks, which raises precision of diesel engine model, are obtained. A NN model is obtained from the hybrid one to meet with the requirement of real time simulation. Simulation studies are conducted, and results show that the model built is precise and real time, and can be used for developing and analyzing engine control algorithms in the hard-in-the-loop simulation system.

Computer based concurrent design and realization of simulated training system for marine electric propulsion system

With the developing of the marine electrical propulsion system, the requirements on management and operation of the system are more important than ever before. The related simulated training system is applied widely. A general framework of the simulated training system for marine electrical propulsion system is introduced in this paper, which is constructed by five components: model calculating server, communication network, executing terminal network, user interface wares, and accessorial software. Concurrent designs and realization of the simulated training system are also presented, as well as the benefits. The practical application shows that the framework can well meet the need of training and concurrent design can accelerate the process of the project.

Knowledge discovery method based on data mining for marine propulsion system

Modern vessels have comprehensive platform management capability that allow them to achieve unprecedented levels of operational effectiveness and contribute to crew reduction. The focus of this paper is to address a new knowledge discovery method based on data mining to support the task activities for integrated management of ship propulsion system. The requirements of management knowledge are analyzed. Data mining algorithm is put forward to identify the related useful running mode knowledge of marine propulsion system. This new method which based on data mining would enhance the capability of knowledge based management for marine propulsion system.