Liang Wu

Prof. Dr. Liang Wu

Jilin University
+1

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 June 2020 in Automotive Innovation
Verified
Journal Article
Open access
PDF file
FMFangwu Ma
Fangwu Ma
JWJiawei Wang
Jiawei Wang
YYYu Yang
Yu Yang
LWLiang Wu
Liang Wu
SZSheng Zhu
Sheng Zhu
LGLevent Guvenc
Levent Guvenc
A hierarchical control framework is applied for the distributed cooperative vehicular platoon using vehicular ad-hoc networks. The parameter-space-approach-based cooperative adaptive cruise control (CACC) controller is proposed to guarantee the $${\mathcal{D}}$$D -stability and the string stability considering the influence of the communication time delay and time lag of vehicular dynamic performance. This CACC controller combines the feedforward loop of the acceleration of the preceding vehicle with the feedback loop of the following errors, in which the gain of the feedforward loop is designed to decrease matching errors and the gains of the feedback loop are selected from the feasible region in the parameter space. To verify the effectiveness of the CACC controller, a six-vehicle platoon with a simplified vehicular dynamic is simulated under speed-up and stop scenarios. The simulation results demonstrate that the disturbance is attenuated along with the platoon and the following errors are convergent with well-designed convergent performance. A CarSim/Simulink co-simulation is designed to further verify the effectiveness of the hierarchical control framework and the rationality of the CACC controller in the real vehicular platoon application. The simulation results under the highway fuel economy test drive cycle show that the CACC controller improves the drive comfort and significantly decreases the following errors.

7 September 2020 in Electronics
Verified
Journal Article
Open access
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Ejaz AhmadEjaz Ahmad
Ejaz Ahmad
Jamshed IqbalJamshed Iqbal
Jamshed Iqbal
MKMuhammad Arshad Khan
Muhammad Arshad Khan
LWLiang Wu
Liang Wu
Iljoong YounIljoong Youn
Iljoong Youn
This work presents a predictive control strategy for a four degrees of freedom (DOF) half-car model in the presence of active aerodynamic surfaces. The proposed control strategy consists of two parts: the feedback control deals with the tracking error while the feedforward control handles the anticipated road disturbance and ensures the desired maneuvering. The desired roll and pitch angles are obtained by using disturbance, vehicle speed and radius of curvature. The proposed approach helps the vehicle to achieve better ride comfort by suppressing the amplitude of vibrations occurring in the vertical motion of the vehicle body, and enhances the road-holding capability by overcoming the amplitude of vibrations in tyre deflection. The control strategy also cancels out the hypothetical forces acting on the vehicle body to help the vehicle to track the desired attitude motion without compromising the ride comfort and road-holding capability. The simulations results show that the proposed control strategy successfully reduces the root mean square error (RMSE) values of sprung mass acceleration as well as tyre deflection.

18 August 2020 in IEEE Access
Verified
Journal Article
Open access
LNLiwei Ni
Liwei Ni
MFMA FANGWU
MA FANGWU
LWLiang Wu
Liang Wu
To achieve posture control and ride comfort (vibration isolation performance) of a robot in unstructured terrain, a novel four-wheel-legged robot (FWLR) with an actively-passively suspension system is first designed. In the suspension system, the active parts are responsible for posture control and the passive parts are responsible for vibration isolation. Then, a closed-loop and decoupled posture control model with 11 DOF are proposed, with which we designed the posture controller with a second-order low-pass filter (SLPF). To test the posture control performance of FWLR in unstructured terrain, both simulation and experiment are carried out, the simulation and experimental results show that the posture angles in unstructured terrain are reduced by 54.65% and 59% on average, respectively. In addition, the frequency response shows that the posture angles are reduced by more than 50% in low-frequency unstructured terrain. Finally, to validate the ride comfort of FWLR, dynamic models with different degrees of freedom (DOF) are established and simulated, and the results present that the ride comfort can be improved with the posture angular acceleration is reduced by 15.83% and 46.7% on average. Generally, with the actively-passively suspension system proposed in this paper, FWLR can be equipped with excellent ride comfort and posture control in unstructured terrain. The research in this paper has potential reference value and practical value for enriching the posture control of robots and vehicles.

24 February 2023 in Sustainability
Verified
Journal Article
Open access
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WJWeiwei Jia
Weiwei Jia
HLHan Li
Han Li
MJMeimei Jiang
Meimei Jiang
LWLiang Wu
Liang Wu
As a result of the post-pandemic situation, enhancing digital heritage services has become one of the key issues for the recovery of tourism. Disruptive innovation in human–computer interaction technology has brought new opportunities for digitalization and intelligent transformation in the contemporary cultural tourism industry. Existing research on the adoption behavior of digital heritage services primarily focuses on users’ assessments of behavior results. There is a considerable gap in research about the interaction and value co-creation between users and digital intelligence services and users’ cognitive construction logic of digital heritage services. Following reciprocal determinism, we propose a conceptual model to deconstruct the detailed transmission path of interactive affordance and sensory affordance to digital heritage adoption. In Study 1, a lab experiment in an AI-assisted smart screen digital heritage service context revealed that interactive affordance and user adoption of digital heritage services were partially mediated by psychological distance. Findings from a between-subject online experiment in Study 2 confirmed that embodied cognition and psychological distance play a parallel intermediary role in the impact of sensory affordance on adoption. In Study 3, a lab experiment in a VR-based digital museum context further verified that information overload moderates the influence of embodied cognition on psychological distance. This research reveals the deep-bounded, rational decision-making logic of digital heritage service adoption and provides significant practical enlightenment for the optimization of the affordance experience.

9 September 2018 in Energies
Verified
Journal Article
Open access
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MFMA FANGWU
MA FANGWU
HYHongbin Yin
Hongbin Yin
LWLulu Wei
Lulu Wei
LWLiang Wu
Liang Wu
CGCansong Gu
Cansong Gu
The energy crisis and environmental concerns worldwide have helped usher in the age of electric vehicles (EVs) and hybrid EVs (HEVs). The interior permanent magnet motors (IPMMs) are widely used in these vehicles. The analysis of the armature reaction field is the most critical issue in the study of IPMMs since it determines the characters of torque, efficiency, vibration, and the radiated acoustic noise. This paper provides a calculation method of the armature reaction magnetic field (ARMF) of an IPMM. First, the formulas of ARMF without magnetic barrier are derived. Second, the relative permeance function of an IPMM is calculated. Third, the analytical solution of the ARMF of an IPMM is derived by applying the armature reaction magnetic field with unsaturated rotor multiplied by relative permeance function. Finally, several results of comparisons between the calculation method proposed in this paper and the finite element method are presented. Based on the calculation method proposed in this paper, the magnetic barrier’s influence on the ARMF is studied. The spatial harmonic orders and time harmonic orders of the ARMF of IPMM are revealed respectively.

31 August 2024 in Journal of the Franklin Institute
Verified
Journal Article
Closed access
LWLiang Wu
Liang Wu
BZBoyuan Zheng
Boyuan Zheng
WZWeizhou Zhang
Weizhou Zhang
IYIljoong Youn
Iljoong Youn
WJWeiwei Jia
Weiwei Jia