Publications (4)1.98 Total impact
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ABSTRACT: To enhance gearshift quality and the durability of frictional elements, an antishudder gearshift controller design for automatic transmissions is discussed, which both makes turbine speed precisely track the desired trajectory and suppresses the output shaft oscillation. Moreover, these targets are achieved by clutch pressure control only. This paper also considered the model uncertainties of the electrohydraulic control system and disturbance, which are represented by two types of friction characteristics related to temperature, as well as age-related deterioration in automatic transmission fluid and the friction material. Sliding-mode control under the frame of the backstepping technique is used to make the controller robustly adapt to various conditions. In this paper, MATLAB is utilized as the programming environment, and the powertrain system is analyzed in the control-oriented sense. Last, the simulation of 1–2 upshift is illustrated to verify the validity of the proposed controller.
Conference Paper: Integrated Powertrain Control of Gearshift for Automatic Transmission[Show abstract] [Hide abstract]
ABSTRACT: In this paper, an integrated powertrain control of gearshift for automatic transmission is developed: engine control by torque regulation is incorporated to suppress the shock of output shaft torque, whilst a clutch slip controller is applied to transfer the engine torque to driveline system, which is aimed to regulate clutch slip speed. The proposed approach ensure the powertrain system stable, and the shift time can be controlled by clutch slip controller even if with the absence of engine control. At last, taking 1-2 upshift for example, simulation results are presented and discussed in the final chapter of this paper.
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ABSTRACT: This paper investigates robust static output feedback (SOF) control problem for the linear systems with parameter uncertainties. Based on the structure of the uncertainties, the systems are separated into linear time invariant (LTI) systems and linear parameter varying (LPV) systems. Then, a class of uncertain systems with norm-bounded perturbations is discussed for both LTI systems and LPV systems. Moreover, robust H<sub>∞</sub> control problem is mentioned as well, which can be reduced to a generalized robust SOF stabilization problem. The proposed approach is applied to active suspension control to illustrate its application at last, and it can be shown that the results in this paper are valid.
Conference Paper: A New Multi-model Internal Model Control Scheme Based on Neural Network[Show abstract] [Hide abstract]
ABSTRACT: Aiming at the practical plants with strong nonlinear characteristics, a new multi-model internal model control (MIMC) strategy based on Gaussian potential function networks (GPFN) is proposed in this paper. The internal model is represented by GPFN and the corresponding controller can be got directly, which simplifies the control law design and analyses greatly. Meanwhile, the way of model switch is developed based on fuzzy decision. This MIMC scheme avoids the complex calculation when adjusting the controller parameter and overcomes the switch vibration. Simulation results demonstrate that the strategy has advantage of internal model control (IMC) and multi-model control and could achieve better system performance than the conventional IMC (CIMC).
Harbin Institute of Technology
Charbin, Heilongjiang Sheng, China
- Department of Control Science and Engineering