【摘要】 为了使直喷发动机在工况复杂且多扰动的运行环境中快速精确地响应相应目标轨压，提出了基于离散事件的轨压自适应抗扰控制算法。基于GT-Power平台建立被控对象的一维数字模型，通过仿真试验对喷油器和高压泵进行参数辨识，并与试验数据对比以确保模型的准确性。结合泵油、喷油和嵌入式控制器的离散系统，设计扩张状态观测器，利用自适应算法识别总扰动。设计抗扰控制算法，利用得到的总扰动对控制进行补偿。在发动机转速为1 500 r/min时，设定5 ms喷油脉宽、8 MPa压力阶跃输入系统，进行仿真试验分析。仿真结果表明：被控对象压力的上升时间为80 ms，即在1个发动机循环内完成；调节时间为100 ms，比单独使用比例-积分（PI）控制降低了50%；稳态误差为±0.2 MPa，比单独使用PI控制降低了60%。更多还原

【Abstract】 An adaptive disturbance rejection control algorithm of rail pressure based on discrete events is proposed in order to make the direct injection engine quickly and accurately respond to the corresponding target rail pressure in the complex and multi-disturbance operating environment. A one-dimensional digital model of the controlled object is established based on GT-Power platform. The parameters of the fuel injector and high-pressure pump are identified through the simulation test, and the accuracy of the model is ensured by comparing with the test data. An extended state observer is designed combined with the discrete system nature of pumping, injection and embedded system, and the adaptive algorithm is used to identify the total disturbance. A disturbance rejection control algorithm is designed to compensate for the total disturbance.At the engine speed of 1 500 r/min, the input system is simulated and analyzed with 5 ms injection pulse width and 8 MPa pressure step input. The results show that the pressure rise time of the controlled object is 80 ms, which is completed in one engine cycle. The adjustment time is 100 ms, which is 50% lower than that of using proportional-integral(PI) control alone. The steady-state error is ±0. 2 MPa, which is 60% lower than that of using PI control alone.更多还原