Performance analysis of MR damper based semi-active suspension system using optimally tuned controllers

Mata, Gurubasavaraju Tharehalli; Vijay, M.; Hemanth, K.

doi:10.1177/09544070211004467

Cited by 14 publications

(5 citation statements)

References 46 publications

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“…(i) Dampers: in the study of semiactive suspension systems, the characteristics of the dampers (MR, ER) are of interest to many researchers [5][6][7]. For MR dampers, it uses the physical properties of MR fuids.…”

Section: Related Workmentioning

confidence: 99%

Two-Layer Parallel Fuzzy Logic Controller Design for Semiactive Suspension System with a Full Car Model

Tấn

2023

Shock and Vibration

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This paper presents research results on semiactive suspension using a fuzzy logic controller. Firstly, a full car model is built with 7 degrees of freedom using a semiactive suspension system at all four wheels. The dynamic equations are converted to the state space representation to facilitate control design and improve accuracy in simulation design. Then, a two-layer parallel fuzzy logic controller is designed with 49 and 25 rules for two fuzzy inference systems. In this way, the fuzzy logic controller is able to respond to a wide operating range of the system and the output force is smoother. Finally, the evaluation results are performed in the frequency and time domains with a real random road profile, and they showed that the root mean square value of the signals when using a semiactive suspension system with the proposed fuzzy logic controller decreased by over 25% compared to the passive suspension system. This clearly demonstrates the effectiveness of the proposed controller in improving the ride comfort, the road holding and ensuring the suspension travel of cars.

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Section: Related Workmentioning

confidence: 99%

Two-Layer Parallel Fuzzy Logic Controller Design for Semiactive Suspension System with a Full Car Model

Tấn

2023

Shock and Vibration

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“…Compared with passive and active suspensions, semi-active suspension systems are characterized by distinguished advantages, including a large adjustment range, fast response, and low energy consumption (Wang et al, 2021). The suspension stiffness can be steered by the damper under external excitations to improve the smoothness and stability of the vehicle (Tharehalli et al, 2021). Magnetorheological dampers (MRDs) utilize smart magnetorheological fluids (MRFs) that exhibit low-viscosity Newtonian fluid properties without an external magnetic field.…”

Section: Introductionmentioning

confidence: 99%

Semi-active fuzzy cooperative control of vehicle suspension with a magnetorheological damper

Huang

et al. 2023

Journal of Intelligent Material Systems and Structures

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This study attempts to improve the vibration isolation performance of a vehicle suspension system with a magnetorheological damper (MRD) under complex driving conditions. Structure parameter uncertainty, disturbance of the driving process, and response time delay of MRD are all addressed. Firstly, experiments of MRD were carried out in a damping force testing machine to identify the parameters of the MRD adjustable Sigmoid model by the Levenberg-Marquardt optimization algorithm. Then, the parameter identification is verified by comparing experimental and simulation data. Secondly, the state space equations of the suspension system are derived by Newton’s second law. The transfer function from the bounded disturbance input to the control output is obtained based on H∞ control theory. To make the Infinite norm of the system transfer function less than a certain value, three control strategies are proposed: variable structure control (VSC), disturbance rejection control (DRC), and delay tolerance control (DTC). Thirdly, considering these issues together to weaken the effect of disturbances on vehicle driving conditions, a fuzzy cooperative control (FCC) strategy is proposed based on the linear matrix inequality (LMI) theory. Simulation results demonstrate that FCC semi-active vehicle suspension systems conduct effective vibration isolation performance while responding to multiple external disturbances.

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“…As a useful device that can provide the resistance force to motion, and consume kinetic energy, magnetorheological (MR) damper is also widely used in vehicle SAS because of its rapid response, low energy consumption and high achievable forces (Floreán-Aquino et al, 2021; Tharehalli et al, 2021; Wang et al, 2021). In Rosli and Moamed (2021), a new cuckoo search algorithm was proposed to enhance the performance of SAS system based on the Bouc-Wen model, the simulation study indicated that the designed controller had faster convergence rate and better fitness value.…”

Section: Introductionmentioning

confidence: 99%

On an enhanced back propagation neural network control of vehicle semi-active suspension with a magnetorheological damper

Wang

Pang

Luo

et al. 2022

Transactions of the Institute of Measurement and Control

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To improve the ride quality of a vehicle, an enhanced vibration control method is presented for semi-active suspension (SAS) with magnetorheological (MR) damper by combining back propagation neural network (BPNN) and particle swarm optimization (PSO). Based on the test data of MR damper, a non-parametric model of MR damper using adaptive neuro-fuzzy inference system (ANFIS) is first established, and based on that, a dynamics model of the SAS system is derived. Next, a BPNN controller is designed to fulfill the effective control of the current in MR damper. Meanwhile, the improved PSO with adaptive weight and dynamic acceleration constant is introduced to optimize the weights and thresholds of the BPNN controller, which can avoid the designed BPNN falling into the local optimum and then improve the convergence rate of the designed controller. Besides, the stability of the developed controller is analyzed via Lyapunov stability theory. Different from the existing models and methods, the established model can well describe the dynamics behaviors of the actual MR damper, and the proposed control method has better adaptability, convergence speed and precision. Finally, a simulative investigation is performed to validate the effectiveness and feasibility of the proposed controller, compared to existing BP-PID control and the passive suspension, the vehicle acceleration of SAS with this proposed controller is respectively improved by 10% and 30%.

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Performance analysis of MR damper based semi-active suspension system using optimally tuned controllers

Cited by 14 publications

References 46 publications

Two-Layer Parallel Fuzzy Logic Controller Design for Semiactive Suspension System with a Full Car Model

Two-Layer Parallel Fuzzy Logic Controller Design for Semiactive Suspension System with a Full Car Model

Semi-active fuzzy cooperative control of vehicle suspension with a magnetorheological damper

On an enhanced back propagation neural network control of vehicle semi-active suspension with a magnetorheological damper

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