Article
Engineering, Mechanical
Wei Huang, Pak Kin Wong, Ka In Wong, Chi Man Vong, Jing Zhao
Summary: The proposed RPNN-based adaptive neural controller improves vehicle yaw stability, reduces response time, attenuates steering oscillation, and outperforms other controllers in multiple aspects, showing significant significance.
VEHICLE SYSTEM DYNAMICS
(2021)
Article
Engineering, Civil
Xiaoyuan Liu, Roger Goodall, Simon Iwnicki
Summary: This paper explores the potential of using an active steering system to achieve improved curving performance and satisfactory running stability. Simulations on different yaw stiffness configurations demonstrate excellent dynamic performance with the active steering strategies adopted.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
(2022)
Article
Engineering, Mechanical
Xinxin Yao, Xianguang Gu, Ping Jiang
Summary: A coordination control strategy based on stability judgment is proposed for autonomous vehicles (AVs) to enhance handling and stability performance. The weights of controllers are adaptively adjusted according to the vehicle stability level, and the effectiveness of the proposed method is verified in a co-simulation environment.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2022)
Article
Engineering, Mechanical
Murat Gozu, Basar Ozkan, Mumin Tolga Emirler
Summary: In this study, an active independent front steering system is proposed to improve yaw stability at acceptable limits by combining a yaw-rate PI controller with disturbance observers on tire forces. The system eliminates the saturation of the inner tire and obtains more lateral force from the outer tire, providing potential benefits. Comparative studies in the CarSim simulation environment demonstrate the performance advantages of the proposed system in terms of tire utilization.
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2022)
Article
Automation & Control Systems
S. Krishna, S. Denis Ashok, S. Narayanan
Summary: This paper presents an Adaptive Neuro Fuzzy Inference System (ANFIS)-based steering controller that aims to improve the lateral stability of a vehicle by reducing the effects of transient errors and external disturbances on yaw rate and sideslip angle. The extended Kalman filter is used to estimate the sideslip angle, which cannot be directly measured, and it is used as an input to the ANFIS controller along with the yaw rate error and steering angle to improve the maneuverability, path tracking, and lateral stability of the vehicle under different road conditions. The proposed method shows improved transient yaw tracking characteristics compared to the uncontrolled model and a fuzzy logic model by correcting the steering angle to maintain optimal vehicle trajectory.
INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL
(2023)
Article
Automation & Control Systems
Zhipei Hu, Feiqi Deng, Yongkang Su, Jin Zhang, Songlin Hu
Summary: This paper addresses the security control problem for networked systems under deception attacks and packet dropouts. It presents a discrete-time stochastic system and controller design method, and demonstrates the effectiveness of the approach through specific examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Engineering, Electrical & Electronic
Guodong Wang, Yang Liu, Shaosong Li, Yunsheng Tian, Niaona Zhang, Gaojian Cui
Summary: This study proposes a new integrated stability controller of AFS and ESC based on holistic control framework to address mutual interference and control distribution issues. By designing a distribution rule of tire force and a UniTire model, and using MPC to solve the multi-objective control problem, the proposed method effectively improves vehicle stability by solving the mutual interference and control distribution problems of steering and braking.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Civil
Jinhao Liang, Yanbo Lu, Faan Wang, Guodong Yin, Xiaoyuan Zhu, Yanjun Li
Summary: This paper proposes an integrated control framework of torque vectoring and active front-wheel steering system to ensure the vehicle lateral motion stability. The system uncertainties are dealt with using the polytope method with finite vertices, and a distributed model predictive control is adopted to construct a dynamic interactive model between agents. Through introducing the game theory, a distributed parallel control scheme is developed to obtain the cooperative strategy of agents. The proposed control scheme is validated through hardware-in-the-loop tests.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Mechanical
Seunghoon Woo, Hyunsoo Cha, Kyongsu Yi, Seongyun Jang
Summary: This paper introduces an active differential control system that improves handling and acceleration performance by preventing excessive understeer and enhancing yaw damping. The proposed algorithms have been validated through vehicle tests and successfully applied to mass production vehicles, receiving positive feedback from international media.
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Han Xu, Youqun Zhao, Wei Pi, Qiuwei Wang, Fen Lin, Chenxi Zhang
Summary: This paper proposes an integrated control strategy combining active front steering and active suspension systems to improve the stability of vehicles matching with Mechanical Elastic Wheels (MEW). The control strategy utilizes feed-forward and feedback controllers, along with a nonlinear disturbance observer to estimate the vertical load of MEW and adjust controller parameters online. Results show that the proposed strategy outperforms the traditional fuzzy-PID controller, significantly enhancing the performance of vehicles equipped with MEW.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Mechanical
M. Ricco, A. Percolla, G. Cardolini Rizzo, M. Zanchetta, D. Tavernini, M. Dhaens, M. Geraerts, A. Vigliani, A. Tota, A. Sorniotti
Summary: This paper explores the impact of active suspension systems on the comfort and handling of passenger cars, and discusses the tuning methods for the nonlinearity of the anti-roll moment distribution. By analyzing the effect of lateral load transfer on lateral axle force and cornering stiffness, a linearized axle force formulation is proposed and the controllers are optimized. The importance of using accurate models of lateral load transfer in control design is demonstrated through simulation results from a nonlinear vehicle model.
VEHICLE SYSTEM DYNAMICS
(2022)
Article
Automation & Control Systems
Jing ChangQing, Shu HongYu, Shu Ran, Song Yitong
Summary: This study proposes a novel integrated control strategy for electric vehicles that maintains lateral stability and energy efficiency through model predictive control and active steering system. The energy efficiency of wheel motors is improved using a global search algorithm, while a sliding mode controller is used to maintain lateral stability. A model predictive controller is employed to coordinate the active steering system and direct yaw moment control system, reducing additional yaw moment during high-speed cornering. A stability judgment controller based on phase plane theory and yaw rate threshold method is proposed to balance lateral stability and energy efficiency under extreme conditions.
CONTROL ENGINEERING PRACTICE
(2022)
Article
Multidisciplinary Sciences
Randa Herzallah, Yuyang Zhou
Summary: This paper proposes a unified probabilistic control framework for stochastic systems with both control input and state time delays. The framework considers both the stochastic nature and time delays in the system dynamics, providing a comprehensive and rigorous control methodology. The effectiveness of the framework is demonstrated through numerical and real-world examples.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Electrical & Electronic
Chuanwei Zhang, Bo Chang, Jianlong Wang, Shuaitian Li, Rongbo Zhang, Jian Ma
Summary: This paper designed a hybrid robust control strategy, H-2/H-infinity, for active front-wheel steering (AFS) based on robust control theory to improve the stability of vehicle steering on low-adhesion road surfaces. The strategy was developed by analyzing the influence of tire sidewall stiffness and road adhesion coefficient on vehicle stability, calculating the reference yaw velocity of the vehicle, and conducting simulation experiments to demonstrate the improved handling stability and robustness of the AFS control strategy.
WORLD ELECTRIC VEHICLE JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yonghwan Jeong, Seongjin Yim
Summary: This paper presents a method for designing a controller that can achieve path tracking and lateral stability for an autonomous electric vehicle with four-wheel independent steering (4WIS) on low friction roads. By converting path tracking control to yaw rate tracking, the difficulties caused by low friction roads can be addressed. Simulation results demonstrate the effectiveness of the proposed controller for path tracking and lateral stability on low friction roads.
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)