Journal ArticleDOI
Adaptive Backstepping Control for Active Suspension Systems With Hard Constraints
TLDR
In this paper, an adaptive backstepping control strategy for vehicle active suspensions with hard constraints is proposed to stabilize the attitude of vehicle and meanwhile improve ride comfort in the presence of parameter uncertainties, where suspension spaces, dynamic tire loads and actuator saturations are considered as time-domain constraints.Abstract:
This paper proposes an adaptive backstepping control strategy for vehicle active suspensions with hard constraints. An adaptive backstepping controller is designed to stabilize the attitude of vehicle and meanwhile improve ride comfort in the presence of parameter uncertainties, where suspension spaces, dynamic tire loads, and actuator saturations are considered as time-domain constraints. In addition to spring nonlinearity, the piecewise linear behavior of the damper, which has different damping rates for compression and extension movements, is taken into consideration to form the basis of accurate control. Furthermore, a reference trajectory is planned to keep the vertical and pitch motions of car body to stabilize in predetermined time, which helps adjust accelerations accordingly to high or low levels for improving ride comfort. Finally, a design example is shown to illustrate the effectiveness of the proposed control law.read more
Citations
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Journal ArticleDOI
Extended-State-Observer-Based Output Feedback Nonlinear Robust Control of Hydraulic Systems With Backstepping
TL;DR: The proposed controller theoretically guarantees a prescribed tracking transient performance and final tracking accuracy, while achieving asymptotic tracking performance in the absence of time-varying uncertainties, which is very important for high-accuracy tracking control of hydraulic servo systems.
Journal ArticleDOI
Adaptive Robust Control of DC Motors With Extended State Observer
TL;DR: In this paper, a practical method named adaptive robust control with extended state observer (ESO) is synthesized for high-accuracy motion control of a dc motor via a feedforward cancellation technique and theoretically guarantees a prescribed tracking performance in the presence of various uncertainties.
Journal ArticleDOI
Active Disturbance Rejection Adaptive Control of Hydraulic Servo Systems
Jianyong Yao,Wenxiang Deng +1 more
TL;DR: The proposed controller theoretically achieves an asymptotic tracking performance in the presence of parametric uncertainties and constant disturbances and prescribed transient tracking performance and final tracking accuracy can also be guaranteed when existing time-variant uncertain nonlinearities.
Journal ArticleDOI
Performance Monitoring for Vehicle Suspension System via Fuzzy Positivistic C-Means Clustering Based on Accelerometer Measurements
Shen Yin,Zenghui Huang +1 more
TL;DR: In this article, the authors proposed a fault detection and isolation method for vehicle suspension systems based on principal component analysis, fuzzy positivistic C-means clustering and fault lines.
Journal ArticleDOI
Neural Learning Control of Marine Surface Vessels With Guaranteed Transient Tracking Performance
Shi-Lu Dai,Min Wang,Cong Wang +2 more
TL;DR: The stored knowledge from the original vessel is reused to develop neural learning control such that the improved control performance with faster tracking convergence rate and less computational burden could be achieved, while prescribed transient and steady-state tracking control performances are guaranteed.
References
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Journal ArticleDOI
Adaptive robust motion control of single-rod hydraulic actuators: theory and experiments
TL;DR: In this paper, a discontinuous projection-based adaptive robust controller (ARC) is proposed for the swing motion control of a single-rod hydraulic actuator with constant unknown inertia load, which takes into account not only the effect of parameter variations coming from the inertia load and various hydraulic parameters, but also the effects of hard to model nonlinearities such as uncompensated friction forces and external disturbances.
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New Delay-Dependent Exponential $H_{\infty}$ Synchronization for Uncertain Neural Networks With Mixed Time Delays
Hamid Reza Karimi,Huijun Gao +1 more
TL;DR: An exponential H infin synchronization method for a class of uncertain master and slave neural networks with mixed time delays, where the mixed delays comprise different neutral, discrete, and distributed time delays is established.
Journal ArticleDOI
Robust H∞ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements
TL;DR: Using the Lyapunov method and stochastic analysis techniques, sufficient conditions are first derived to guarantee the existence of the desired controllers, and then the controller parameters are characterized in terms of linear matrix inequalities (LMIs).
Journal ArticleDOI
Brief paper: H∞ filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities
TL;DR: This paper aims at designing a full-order filter such that, for all admissible uncertainties, nonlinearities and time delays, the dynamics of the filtering error is guaranteed to be robustly asymptotically stable in the mean square, while achieving the prescribed H"~ disturbance rejection attenuation level.