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Frequency-Domain Analysis and Design of Linear Feedback of Nonlinear Systems and Applications in Vehicle Suspensions

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TLDR
In this paper, the nonlinear characteristic output spectrum (nCOS) function can be expressed as an explicit and analytical polynomial function of any model parameters which define underlying linear dynamics of the system and a simple least square algorithm is provided for the determination of this nonlinear parametric relationship.
Abstract
Nonlinear vibration control systems (both passive and active) always involve parameter design and performance optimization tasks. A systematic and novel frequency-domain method is established to this aim in this study based on a newly developed concept—nonlinear characteristic output spectrum (nCOS). The nCOS function can be any system output function or multiobjective performance function to be optimized. It is shown for the first time that the nCOS function can be expressed into an explicit and analytical polynomial function of any model parameters which define underlying linear dynamics of the system. A simple least square algorithm is provided for the determination of this nonlinear parametric relationship. This novel nCOS function can obviously facilitate parameter analysis and design of nonlinear vibration control systems and provide a useful tool for a simple linear control design, while simultaneously considering inherent nonlinear dynamics of a system. A case study in vehicle suspension control demonstrates these new results.

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Citations
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Journal ArticleDOI

Accurate Trajectory Tracking of Disturbed Surface Vehicles: A Finite-Time Control Approach

TL;DR: In this paper, accurate trajectory tracking problem of a surface vehicle disturbed by complex marine environments is solved by creating a finite-time control (FTC) scheme whereby the nonsingular fast terminal sliding mode (NFTSM) and finite- time disturbance observer (FDO) techniques are deployed.
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Robust non-fragile finite-frequency H∞ static output-feedback control for active suspension systems

TL;DR: In this paper, a non-fragile H ∞ static output-feedback control of vehicle active suspension systems with finite-frequency constraint is proposed to improve ride comfort within the given frequency range and ensure the hard constraints in the time-domain.
Journal ArticleDOI

Adaptive Scheme for the Real-Time Estimation of Tire-Road Friction Coefficient and Vehicle Velocity

TL;DR: In this paper, a cost-effective observers are designed based on an adaptive scheme and a recursive least squares algorithm without the addition of extra sensors on a production vehicle or modification of the vehicle control system.
Journal ArticleDOI

Robust finite-time tracking control for nonlinear suspension systems via disturbance compensation

TL;DR: In this article, a disturbance compensator with finite-time convergence property is proposed to compensate unknown disturbance efficiently, which can avoid the unexpected chattering in active suspension control, which offers some distinct advantages over the existing discontinuous ones.
Journal ArticleDOI

Recent advances in control algorithms for smart structures and machines

TL;DR: A review of recent control algorithms used primarily for vibration control of smart structures and machines and solutions proposed can be subdivided into classical control, optimal control, robust control, intelligent control, and self-sustaining solutions and energy harvesting used in centralized and decentralized configurations.
References
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Journal ArticleDOI

A new delay system approach to network-based control

TL;DR: A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modeled as a nonlinear time-delay system with two successive delay components in the state and the problem of network-based H"~ control is solved accordingly.
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Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach

TL;DR: This paper deals with the adaptive sliding-mode control problem for nonlinear active suspension systems via the Takagi-Sugeno (T-S) fuzzy approach, and a sufficient condition is proposed for the asymptotical stability of the designing sliding motion.
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Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault

TL;DR: The Takagi-Sugeno (T-S) fuzzy model approach is adapted with the consideration of the sprung and the unsprung mass variation, the actuator delay and fault, and other suspension performances to design a reliable fuzzy H∞ controller for active suspension systems with actuatordelay and fault.
Journal ArticleDOI

Fuzzy Sampled-Data Control for Uncertain Vehicle Suspension Systems

TL;DR: This work focuses on designing state- feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical systems to be asymptotically stable and satisfy H∞ disturbance attenuation level and suspension performance constraints.
Journal ArticleDOI

Saturated Adaptive Robust Control for Active Suspension Systems

TL;DR: In response to uncertainties in systems and the possible actuator saturation, a saturated adaptive robust control (ARC) strategy is proposed, where an antiwindup block is added to adjust the control strategy in a manner conducive to stability and performance preservation in the presence of saturation.
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