摘要：针对同时带有高频和低频干扰的信号设计了一种多级跟踪微分带通滤波器,给出了跟踪信号和微分信号的计算方法;以船用16PC2-6柴油机的实测瞬时转速为例进行了仿真研究;在建立柴油机系统动力学模型的基础上,利用瞬时转速的跟踪信号和微分信号实现了柴油机指示转矩的预测.仿真结果表明:采用该多级跟踪微分器可以获得瞬时转速的高品质跟踪信号和微分信号,适用于柴油机的转矩重构.

摘要：文章开发了一款混合动力多能源动力总成控制器HOU。着重研究CAN总线在开发过程中的应用。通过设计CAN通信模块,以及通信软件的设计,进一步增强对CAN使用的认识,为混合动力汽车HCU的开发提供通信方面的参考。最后还对所开发的HCU进行了仿真测试。

摘要：基于串级控制设计了轨压-电流双闭环控制器,采用非线性跟踪微分器改进了传统的PID控制算法并用于轨压的反馈控制;研究了试验中的轨压剧烈波动现象和轨压剧烈波动机理,提出了变频控制避免轨压剧烈波动的方法,给出了驱动频率的计算方法。油泵试验台进行的试验表明:所提出轨压控制算法能使轨压在稳态工况下波动控制在±1MPa以内,瞬态无超调;变频控制可以避免共轨系统轨内发生波的干涉。

摘要：This paper proposes a rail pressure tracking controller based on a novel common rail system. A mathematical model, based on physical equations, is developed and used for feed forward control design. Rail pressure peak sampling mechanism is designed to remove the disturbance of rail pressure due to fuel injection. All enhanced tracking differentiator is designed to get smooth tracking signal and exact differential signal from signal with noise. Double loop control strategy is designed to decouple the system and to improve dynamic performance of the system. Experimental results indicate that fluctuation of rail pressure is within il MPa in steady condition, while within ±3 MPa in transient condition, which verifies the effectiveness of the proposed rail pressure control strategy.

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.