Multi-objective control for uncertain nonlinear active suspension systems

Sun, Wei; Pan, Huihui; Zhang, Yifu; Gao, Huijun

doi:10.1016/j.mechatronics.2013.09.009

Cited by 163 publications

(120 citation statements)

References 29 publications

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“…Simulation results showed the better performance of designed HFPIDCR controller in achieving high performance for passenger ride comfort and safety. Recently, various control strategies such as interval fuzzy controller [23], optimal law [24], robust sampled data H∞ control [25], finite frequency H∞ control [26], composite nonlinear feedback control [27], fuzzy sliding mode control [28], active force control [29], LQR control [30], multi-objective control [31] and continuous and discrete sliding mode control [32] etc. have been used and compared for suppression of road induced vibrations in active quarter car suspension system.…”

Section: Related Workmentioning

confidence: 99%

Passenger Body Vibration Control in Active Quarter Car Model using Hybrid ANFIS PID Controller

Faridabad¹,

Haryana²

2018

IJISA

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Abstract-The objective of this paper is to improve the passenger ride comfort and safety in an active quarter car model. For this purpose, a quarter car model with passenger body and seat is considered to capture the dynamic behaviour of a real complete car system. To achieve the desired target, two different controllers such as Adaptive Neuro Fuzzy (ANFIS) controller and Hybrid ANFIS PID controller (HANFISPID) are designed. The controllers selection and design was aimed to achieve good passenger ride comfort and health, taking passenger body acceleration and displacement response under random road excitations. The performance of designed controllers are evaluated using simulation work in time and frequency domain. Simulation results show that the proposed HANFISPID control scheme can succesfully achieve the desired ride comfort and safety of passenger compared to passive and ANFIS controlled cases in an active quarter car model.

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Section: Related Workmentioning

confidence: 99%

Passenger Body Vibration Control in Active Quarter Car Model using Hybrid ANFIS PID Controller

Faridabad¹,

Haryana²

2018

IJISA

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“…The objective of the controller design for the active suspension systems should consider the following three tasks [11].…”

Section: Problem Formulationmentioning

confidence: 99%

Online Adaptive Optimal Control of Vehicle Active Suspension Systems Using Single‐Network Approximate Dynamic Programming

Ning

et al. 2017

Mathematical Problems in Engineering

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In view of the performance requirements (e.g., ride comfort, road holding, and suspension space limitation) for vehicle suspension systems, this paper proposes an adaptive optimal control method for quarter-car active suspension system by using the approximate dynamic programming approach (ADP). Online optimal control law is obtained by using a single adaptive critic NN to approximate the solution of the Hamilton-Jacobi-Bellman (HJB) equation. Stability of the closed-loop system is proved by Lyapunov theory. Compared with the classic linear quadratic regulator (LQR) approach, the proposed ADP-based adaptive optimal control method demonstrates improved performance in the presence of parametric uncertainties (e.g., sprung mass) and unknown road displacement. Numerical simulation results of a sedan suspension system are presented to verify the effectiveness of the proposed control strategy.

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“…In this control system there are overall four feedback control loops, namely the innermost proportional-integral (PI) control loop for the force tracking of the pneumatic actuator, the intermediate skyhook and active force control(AFC) control loops for the compensation of the disturbances and the outermost proportional-integral-derivative(PID) control loop for the computation of the optimum target/commanded force. Weichao Sun et al [5] have suggested a constrained adaptive back-stepping control scheme for active suspensions to achieve the multi-objective control, such that the resulting closed-loop systems can improve ride comfort and at the same time satisfy the performance constraints in the presence of parametric uncertainties. Compared with the classic Quadratic Lyapunov Function (QLF), the barrier Lyapunov function employed in this paper can achieve a less conservatism in controller design.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation and Analysis of Active Suspension System for Passenger Vehicles

2017

IJAERD

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Abstract-Suspension system is the most significant part which heavily affects the vehicle handling performance and ride quality. Because of its structures limit, the passive suspension system can hardly improve the two properties at the same time. Since the advent of active suspension system, it has become the research hot spot. In this review paper we shall see the advantages of the active suspension system over the passive suspensions systems and its incorporation in passenger vehicles.

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Multi-objective control for uncertain nonlinear active suspension systems

Cited by 163 publications

References 29 publications

Passenger Body Vibration Control in Active Quarter Car Model using Hybrid ANFIS PID Controller

Passenger Body Vibration Control in Active Quarter Car Model using Hybrid ANFIS PID Controller

Online Adaptive Optimal Control of Vehicle Active Suspension Systems Using Single‐Network Approximate Dynamic Programming

Simulation and Analysis of Active Suspension System for Passenger Vehicles

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