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Nonlinear Steering Wheel Angle Control Using Self-Aligning Torque with Torque and Angle Sensors for Electrical Power Steering of Lateral Control System in Autonomous Vehicles
2018
Sensors
Hence, we propose a nonlinear control of SWA using the self-aligning torque for EPS in the lateral control system of autonomous vehicles. ...
The proposed method consists of a high-gain disturbance observer and a backstepping controller, where the former aims to estimate the self-aligning torque, and an auxiliary state variable prevents using ...
Experimental results validated the performance of the proposed control method via an EPS hardware-in-the-loop simulation system. ...
doi:10.3390/s18124384
fatcat:cqolvepytncrbnxpk6kro7fm5y
Nonlinear Regression Analysis Using Multi-Verse Optimizer
[article]
2020
arXiv
pre-print
The proposed method is applied to 10 well-known benchmark nonlinear regression problems. A comparative study has been conducted with Particle Swarm Optimizer (PSO). ...
The experimental results demonstrate that the proposed method statistically outperforms PSO algorithm. ...
Mishra [11] evaluates the performance of Differential Evolution at nonlinear curve fitting. ...
arXiv:2005.10642v1
fatcat:6lzu7qktpbcpdcnttkp6smbg7y
Actuator-Integrated Fault Estimation and Fault Tolerant Control for Electric Power Steering System of Forklift
2021
Applied Sciences
The nonlinear unknown input observer (NUIO) was proposed to estimate the system states and actuator faults, and an adaptive sliding mode FTC system was constructed based on it. ...
The gain of the observer and controller is obtained by H∞ optimization and one-step linear matrix inequality (LMI) formula operation in order to realize the overall optimal design of an FTC system. ...
Furthermore, thanks go to graduate students Zhilu Zhang, Peng Yang, Hanguo Kang and Xiaokang Zhou in the same lab.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11167236
fatcat:qlqaqiqetrg6nggib3kmr5poiq
Voltage regulation in buck–boost coniverters feeding an unknown constant power load: an adaptive passivity-based control
[article]
2019
arXiv
pre-print
Additionally, an immersion and invariance parameter estimator is proposed to compute online the extracted load power, which is difficult to measure in practical applications. ...
Rapid developments in power distribution systems and renewable energy have widened the applications of dc--dc buck--boost converters in dc voltage regulation. ...
Then, the controller's ability to regulate the output voltage when a step is applied to the extracted power is evaluated experimentally and compared with simulation results for a chosen set of gains. ...
arXiv:1909.04438v1
fatcat:42wdteiokfh5pih7cd5zngukwm
Experimental Evaluation of Adaptive and Variable Structure Control of Piezoelectric Actuation Systems for Micro/Nano Manipulation
2006
2006 9th International Conference on Control, Automation, Robotics and Vision
This paper proposes and evaluates an adaptive technique and a variable structure control approach for piezoelectric actuation systems to track specified motion trajectories. ...
actuation systems without any form of feed-forward compensation. ...
ACKNOWLEDGMENT This work is supported by an Australian Research Council (ARC) Linkage Infrastructure, Equipment and Facilities (LIEF) grant and an ARC Discovery grant. ...
doi:10.1109/icarcv.2006.345065
dblp:conf/icarcv/LiawSOA06
fatcat:3r2mskbqfvgwpghzpfewpt47je
Design and evaluation of an observer-based disturbance rejection controller for electric power steering systems
2015
Proceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering
The goal of this paper is to develop an observer-based disturbance rejection Electric Power Steering (EPS) controller to provide steering assistance and improve the driver's steering feel. ...
Finally, the EPS controller is applied to the high-fidelity vehicle model in a software-in-the-loop simulation to evaluate its robustness and performance under realistic conditions. ...
ACKNOWLEDGMENTS The authors would like to thank the Ontario Centres of Excellence (OCE), the Natural Sciences and Engineering Research Council of Canada (NSERC), Toyota, and Maplesoft for their support ...
doi:10.1177/0954407015596275
fatcat:irktnqsn2rawpgpkyxhkz65cq4
Identification and control of systems with friction using accelerated evolutionary programming
1996
IEEE Control Systems
The proposed algorithm is applied to the identification of a seven-parameter friction model of an X-Y table, which is adopted from the results of recent tribology studies. ...
Experimental results on the X-Y table demonstrate the effectiveness of the proposed scheme, especially for very-low-speed tracking. ...
Conclusions We have proposed an evolutionary optimization algorithm, called uccelerated evolutionary programming, which can be applied to the identification and control of a broad class of nonlinear systems ...
doi:10.1109/37.526914
fatcat:xt4xudjkjrfdriqvqavexjfqvy
Observability Analysis and State Estimation of Lithium-Ion Batteries in the Presence of Sensor Biases
2017
IEEE Transactions on Control Systems Technology
applied using experimental data. ...
It is then demonstrated that biases in the measurements, due to sensor ageing or calibration errors, can be estimated by applying a nonlinear Kalman filter to an augmented model where the biases are incorporated ...
ACKNOWLEDGEMENTS The authors would like to thank Christoph Birkl for his help with experiments. ...
doi:10.1109/tcst.2016.2542115
fatcat:uam522xcsnaabaxtbh6m5hki7a
MultiLogistic Regression using Initial and Radial Basis Function covariates
2009
2009 International Joint Conference on Neural Networks
First, an Evolutionary Programming (EP) algorithm is applied, aimed to produce a RBF Neural Network (RBFNN) with a reduced number of RBF transformations and the simplest structure possible. ...
Then, the input space is transformed by adding the nonlinear transformations of the input variables given by the RBFs of the best individual in the last generation. ...
We apply an EP algorithm to find the basis functions: corresponding to the nonlinear part of I (x, e). ...
doi:10.1109/ijcnn.2009.5178694
dblp:conf/ijcnn/GutierrezHMF09
fatcat:fxbv34xhiffmnn2xiuqdzs7v4m
MIGA, A Software Tool for Nonlinear System Modelling with Modular Neural Networks
2004
Applied intelligence (Boston)
This tool allows the inclusion of a priori knowledge and, furthermore, to extract physical information from the models, once the system has learned. ...
The modelling tool is capable of automatic model generation, parameter estimation and model validation. ...
The author is member of CERCA (Collective for the Study and Research of Control and Automation). ...
doi:10.1023/b:apin.0000011140.39317.ab
fatcat:fodqyiu3hjflljgpcgfnwxmyfi
Simple Learning-Based Robust Trajectory Tracking Control of a 2-DOF Helicopter System
2022
Electronics
In addition, to ensure the stability of the closed-loop nonlinear system, further analysis is provided. ...
The learning capability of the designed controller makes it suitable to take system uncertainties and unknown disturbances into account. ...
Acknowledgments: The first and second authors wish to acknowledge the support provided by Columbus State University, USA. ...
doi:10.3390/electronics11132075
fatcat:nr2toaxdkfgvxagjzla73gvtny
Lateral Stability Control of In-Wheel-Motor-Driven Electric Vehicles Based on Sideslip Angle Estimation Using Lateral Tire Force Sensors
2012
IEEE Transactions on Vehicular Technology
To estimate the vehicle sideslip angle, a state observer derived from the extended-Kalman-filtering (EKF) method is proposed and evaluated through field tests on an experimental IWM-EV. ...
Experimental results show the ability of a proposed observer to provide accurate estimation. ...
ACKNOWLEDGMENT The authors would like to thank NSK Ltd., for providing MSHub units and technical support, and the Hori/Fujimoto Laboratory EV team colleagues for their help during the experiments. ...
doi:10.1109/tvt.2012.2191627
fatcat:hwmv7stqizfh3h7worxukkfnzu
Static and Dynamic Characterization and Control of a High-Performance Electro-Hydraulic Actuator
2020
Actuators
Unknown static and dynamical model parameters are calibrated from experiments, and the updated models are observed to capture experimentally observed behavior very well. ...
Since experiments with the actuator exhibit nonlinear characteristics, the linearized static model is expanded to include the influence of nonlinearities due to flow, leakages, saturations, and due to ...
Unknown model parameters in each case are identified from experiments, and the expanded nonlinear static model is observed to capture experimentally observed behavior very well, as is also discussed in ...
doi:10.3390/act9020046
fatcat:vexbbfqny5do5hd6ywjdlfeqnq
Automated onboard modeling of cartridge valve flow mapping
2006
IEEE/ASME transactions on mechatronics
The estimation of flow mappings is based on the pressure dynamics of the hydraulic cylinder with the consideration of effects of some unknown system parameters such as the effective bulk modulus of the ...
Experimental results are obtained to illustrate the effectiveness and practicality of the proposed novel automated modeling method. ...
In [13] , an attempt was made to build a flow rate observer based on the pressure dynamics of the controlled system via the sliding mode observer design technique. ...
doi:10.1109/tmech.2006.878552
fatcat:bmveyodisrfzffeziz6kj7ygua
Electric Power Steering System Control Strategy Based on Robust H∞ Control for Electric Forklift
2018
Mathematical Problems in Engineering
The standard H∞control model of the EPS system is transformed, and the EPS generalized state equation of electric forklift is derived. ...
The dynamic model of the Electric Power Steering (EPS) system for electric forklifts and the two-degree-of-freedom (2DOF) forklift models has been established. ...
Acknowledgments This work is supported by National Natural Science Foundation (NNSF) of China under Grant 51577046, the National Key Research and Development Plan "Important Scientific Instruments and ...
doi:10.1155/2018/7614304
fatcat:h6v2koc6mbdszcryozwqk2ws24
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