Perturbation-observation-based self-learning engine torque control system and method thereof

An engine torque and torque control technology, applied in the field of self-learning engine torque control system, can solve the problems of long time to re-adjust PID control parameters, unsatisfactory engine torque tracking effect, and poor algorithm adaptive ability, so as to solve the problem of poor self-adaptability. , improve overshoot and lag problems, reduce the effect of modeling work
CN107989708AActive Publication Date: 2018-05-04TIANJIN UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TIANJIN UNIV
Publication Date
2018-05-04

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a perturbation-observation-based self-learning engine torque control system and a method for the perturbation-observation-based self-learning engine torque control system and provides the engine torque control method which combines active perturbation control and dynamic feedforward control. On the one hand, a dynamic model from a control target to control input is directlyestablished, and the model is used for the design of the feedforward control; on the other hand, on the basis of the feedforward control, an ADRC feedback control unit is designed for engine torque control, and the internal and external total perturbation of the system can be observed and compensated in real time. The perturbation-observation-based self-learning engine torque control system and the method for the perturbation-observation-based self-learning engine torque control system have the beneficial effects that on the basis of an estimation and compensation method of total perturbation,an accurate engine torque model is not needed, an approximate estimate of the engine torque order is just needed, a control algorithm is convenient to design, the algorithm is high in parameter adjusting and robustness, the transient torque control performance can be effectively improved, and the adaptive performance of the algorithm is improved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present disclosure relates to the field of engine torque control, in particular to a disturbance observation-based self-learning engine torque control system and method thereof. Background technique

[0002] The bench system composed of engine-dynamometer can be used to test the power, economy and emission performance of the engine, and it is a very important experimental equipment in the engine development stage. In the most commonly used modes of engine control torque and dynamometer control speed, the dynamometer is used to simulate the load of the engine, and the engine speed can be quickly stabilized at the target speed value by adjusting the loading torque; the engine achieves output torque following the target by controlling the accelerator pedal The torque value constitutes a dual-input and dual-output coupling system. The increasingly stringent emission regulations and the introduction of transient cycle tests such as ETC, WHTC, and RDE h...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More