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Robust Intelligent Control Design for Marine Diesel Engine
  • 期刊名称:J. Shanghai Jiaotong Univ. (Sci.)
  • 时间:2013.9
  • 页码:660-666
  • 分类:TP242.3[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置] U664.121[交通运输工程—船舶及航道工程;交通运输工程—船舶与海洋工程]
  • 作者机构:[1]State Key Laboratory of Ocean Engineering, Shanghai Jiaotong University, Shanghai 200240, China, [2]Shanghai Ship and Shipping Research Institute, Shanghai 200135, China
  • 相关基金:Foundation item: the National Natural Science Foundation of China (No. 51179102) and the China Postdoctoral Science Foundation (No. 20110490716)
  • 相关项目:船舶多类型电源集成管理及最优控制策略研究
中文摘要:

This work deals with the nonlinear control of a marine diesel engine by use of a robust intelligent control strategy based on cerebellar model articulation controller(CMAC). A mathematical model of diesel engine propulsion system is presented. In order to increase the accuracy of dynamical speed, the mathematical model of engagement process based on the law of energy conservation is proposed. Then, a robust cerebellar model articulation controller is proposed for uncertain nonlinear systems. The concept of active disturbance rejection control(ADRC) is adopted so that the proposed controller has more robustness against uncertainties. Finally, the proposed controller is applied to engine speed control system. Both the model of the diesel engine propulsion system and of the control law are validated by a virtual detailed simulation environment. The prediction capability of the model and the control efciency are clearly shown.

英文摘要:

This work deals with the nonlinear control of a marine diesel engine by use of a robust intelligent control strategy based on cerebellar model articulation controller (CMAC). A mathematical model of diesel engine propulsion system is presented. In order to increase the accuracy of dynamical speed, the mathematical model of engagement process based on the law of energy conservation is proposed. Then, a robust cerebellar model articulation controller is proposed for uncertain nonlinear systems. The concept of active disturbance rejection control (ADRC) is adopted so that the proposed controller has more robustness against uncertainties. Finally, the proposed controller is applied to engine speed control system. Both the model of the diesel engine propulsion system and of the control law are validated by a virtual detailed simulation environment. The prediction capability of the model and the control efficiency are clearly shown.

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