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RISS 인기검색어
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- 저자 : Dingxuan Zhao (검색결과 4 건)
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Xubin Dong,Dingxuan Zhao,Bin Yang,Chenghao Han 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.6
In current study, a new approach for vehicle active suspension actuator control is reported. For this approach, a nonlinear model for an electro-hydraulic servo actuator and quarter suspension system is established. An Oustaloup recursive approximation (ORA) Fractionalorder proportional–integral–derivative (FOPID) controller is designed to control the displacement of the actuator, and controller parameters are optimized based on error integral criteria using the Parallel adaptive clonal selection algorithm (PACSA). The research indicates that PACSA can tune parameters of the FOPID controller accurately and efficiently, and the tuned FOPID controller performs better in terms of response speed and tracking accuracy than a regular Proportional–integral–derivative (PID) controller. The performance of the active suspension system that uses the FOPID actuator is obviously superior to that of the active suspension system that uses a PID actuator and a passive suspension system.
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Fuzzy Logic Control Strategy for Parallel Hybrid Excavator
Miao Xu,Dingxuan Zhao,Tianyu Li 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.8
A 20 t parallel hybrid excavator was applied as the research object in the research. To optimize the fuel economy of the engine and maintain the balanced electric quantity of power batteries simultaneously, a fuzzy logic based strategy was proposed to control the power train of the 20t parallel hybrid excavator. The torque required by the system and the state of charge (SOC) of the capacitor were regarded as the input parameters, while the power partition coefficient K was regarded as the output parameter to design the fuzzy logic controller, so as to optimize the power output of the engine and the motor. The simulation and bench test results demonstrated that the proposed fuzzy logic based control strategy can maintain the balanced electric quantity of the capacitor while controlling the engine to be operated at the optimal output power. Meanwhile, after being optimized by the fuzzy logic, the engine reduced the fuel consumption by 8.06%. Therefore, it is concluded that this strategy is applicable to parallel hybrid excavators, accompanying with significant energy saving effect.
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Dynamic simulation and analysis of the elevating mechanism of a forklift based on a power bond graph
Yao Wang,Dingxuan Zhao,Lei Wang,Zhuxin Zhang,Lili Wang,Yanjuan Hu 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.9
An electric elevating mechanism is designed based on the working principle of the lifting equipment for the CPD30 forklift. The mathematical models based on the power bond graph for an electric elevating system and a hydraulic elevating system are built by considering the execution condition of the fork arms of a forklift, including starting, rising and braking. On the basis of these models, dynamic simulation and analysis are performed for the starting, rising and braking of the fork arms frame. Then, the corresponding mathematical model is derived. Furthermore, the curve of the movement velocity of the fork arms frame is determined. The characteristics of the two types of lifting mechanism are summarized for two types of working effect of the lifting system under the same conditions by comparing the difference between the actual trajectory curve and the curve of the original plan. The theoretical foundations for the type selection of the forklift elevating mechanism and even that of engineering machinery are provided.
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Terminal sliding mode control for full vehicle active suspension systems
Miaomiao Du,Dingxuan Zhao,Bin Yang,Lili Wang 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.6
In current study, a terminal sliding mode control approach different from the conventional sliding mode control is proposed for active suspension system, which has an ability to reach the sliding surface in a finite time to achieve a high control accuracy. A full vehicle active suspension model is adopted with consideration of system uncertainties. The terminal sliding mode controller (TSMC) is systematically designed to force motion trajectories of vehicle body to accurately track the ideal reference model, and the controller parameters are tuned by a novel kidney-inspired algorithm (KA) for better control performance. The thought of designing an adaptive scheme for the reference model is one of the main contribution of this work. Simulation results clearly show the strength of adaptive scheme. The effectiveness and the strong robustness in stabilizing the attitude of the vehicle and improving the ride comfort are the main positive features of the proposed TSMC.
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