Non-linear modelling and control of semi-active suspensions with variable damping

Huang, Chengbin; Chen, Long; Yuan, Chaochun; Jiang, Haobin

doi:10.1080/00423114.2013.814799

Cited by 27 publications

(15 citation statements)

References 16 publications

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“…Therefore, the critical condition of suspension instability is that there is only a purely imaginary eigenvalue represented by λ in Equation (5). Suppose λ = jω; then plug this into transcendental Equation (5), we can obtain the condtion of pure imaginary zeros for Equation (5), as is shown in Equation (6).…”

Section: Numerical Solution and Analysis Of Critical Time Delaymentioning

confidence: 99%

“…In contrast, semi-active suspension has received a great deal of attention in recent years due to its better performance and low power requirements and especially for its ability to improve ride quality and maintain good handling and road holding simultaneously. Therefore, a semi-active suspension system is the effective way to improve the suspension system and has been widely investigated [6,8,15,20]. Research has focused on determining how to achieve the optimal suspension performance: namely, ride comfort, road handling, and suspension deflection.…”

Section: Introductionmentioning

confidence: 99%

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Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

Pang

Liu

2015

IFS

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Abstract. This paper investigates the problem of stability analysis and fuzzy-smith compensation control for semi-active suspension systems with time delay. The dynamic system of the suspension system with time delay is first formulated in terms of control objectives, such as ride comfort, road handling, and suspension deflection. By using the Lyapunov stability analysis, the necessary and sufficient condition of the critical time delay for the semi-active suspension is derived, and the numerical computation method of solving the asymptotic stability area for this suspension system is presented. Then, our work focuses on designing a Fuzzy-Smith predictive controller to satisfy suspension performance requirements. The control law adopted here is based on the smith predictive control principle, which ensures the control accuracy and stability of a time-delay suspension system. In order to overcome the challenging issues of the model uncertainties of input time delay, a Fuzzy-Smith predictive controller with time delay is established for the semi-active suspension. Furthermore, simulation and test results for the semi-active suspension are provided to demonstrate the effectiveness and feasibility of the proposed method.

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Section: Numerical Solution and Analysis Of Critical Time Delaymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

Pang

Liu

2015

IFS

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“…Burton [2] presented a closed loop analog control with two hydraulic actuators to provide the control force. Huang Chen et al explained a current controlled adjustable shock absorber [7] and proved that it works better than the MR damper in the aspects of cost, simplicity, structure stable performance and feasibility. Based on fishhook maneuver method [22], the comparison of various rollover critical factors, the relationships among vehicle lateral and anti rollover stability have been investigated.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of travelling comfort using PID based adaptive neuro fuzzy inference system for half car model

Kalaivani

Lakshmi²,

Sneha

2013

IET Chennai Fourth International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2013)

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In this paper, pioneering Adaptive Neuro Fuzzy Inference System (ANFIS) which is trained with well known traditional Proportional, Integral and Derivative (PID) controller data for Half Car (HC) model is proposed to improve the travelling comfort. The travelling performance is generally assessed at the design stage in automobile industries by simulating the vehicle response to various road excitations. In this work, the disturbance from the road is assumed to be a jerk which represents a sudden shock. Initially a PID controller is designed and tuned to give better response. Secondly the PID tuning parameters are optimized using popular stochastic global optimization technique -Genetic Algorithm (GA) by considering the body acceleration as the Performance Index (PI). At last, an ANFIS which inherits the features of Neural Network (NN) and Fuzzy Logic (FL) is used for control purpose. The modelling of system and simulation with and without controllers are carried out in MATLAB/ Simulink environment. A comparison is made among the responses obtained and it shows that, the system with PID based ANFIS gives significant reduction of the Sprung mass Displacement (SD) and thus improves the travelling comfort.

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“…Another study [9] describes a controller that was built to compensate for the uncertainties of the quarter suspension model and MR damper to improve the robustness of the system. Variable damping aperture control is another type of semi-active suspension that has been studied [10]. Active suspensions are more widely studied compared to semi-active suspensions.…”

Section: Introductionmentioning

confidence: 99%

Active control of a nonlinear suspension with output constraints and variable-adaptive-law control

Yao¹,

Zhang²,

Zhao³

et al. 2018

J. vibroeng.

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A variable-adaptive-law control algorithm for application to common problems like multi-objective control, actuator output constraints, and suboptimal adaptive laws is proposed in this paper. The multi-objective control problem of a nonlinear suspension is converted to the constrained stability problem of a sprung mass using a quarter nonlinear-suspension model. A variable-adaptive-law controller is then used, along with feedback from the output error, and considering the constraints of the actuator output. The controller modifies the adaptive law to reduce the active control force and restores it to the unsaturated zone. This ensures that the suspension system is always in a controlled state when the output saturation occurs. The controller was simulated for the following two cases: (i) a bump road and (ii) a C-grade road. The analysis is verified by experiments in the end.

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Non-linear modelling and control of semi-active suspensions with variable damping

Cited by 27 publications

References 16 publications

Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

Enhancement of travelling comfort using PID based adaptive neuro fuzzy inference system for half car model

Active control of a nonlinear suspension with output constraints and variable-adaptive-law control

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