Self-Tuning PID Controller with MR damper and Hydraulic Actuator for Suspension System

Talib, Mat Hussin Ab; Darus, Intan Zaurah Mat

doi:10.1109/cimsim.2013.27

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…Though the active system was improved than the passive system comparatively, it required a large amount of external power to actuate and it may not be considered as a fail-proof system. 2 Semiactive suspension can act as a passive suspension in case of any failure in the controller circuit. Further, the power consumed to control the variable damper was found to be less compared to the active system.…”

Section: Introductionmentioning

confidence: 99%

Ride comfort analysis of driver seat using super twisting sliding mode controlled magnetorheological suspension system

Soosairaj

Kandavel

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In order to improve the ride comfort of the driver, a higher-order Sliding Mode Controller was proposed in this study for a semiactive magnetorheological (MR) suspension system. The work is mainly focused on improving the ride comfort of the driver with simultaneous improvement in road holding capability of the vehicle and to study the effects of using Super Twisting Sliding Mode Controller (STSMC) in a quarter car with driver seat model. The modified Bouc-Wen model was simulated using MATLAB/Simulink software and the STSMC was adopted to control the voltage variation in MR damper using Continuous State Control (CSC) algorithm. The controller and the suspension system parameters were analysed in time domain with random road inputs. Fast Fourier Transform (FFT) analysis was also carried out to show the effectiveness of the controller towards improving the driver seat comfort. The STSMC-controlled MR damper was used as a primary suspension and the effectiveness of its controllability was compared with passive suspension system. The uncontrolled MR suspension system was also analysed in order to verify the fail-proof advantage of the MR damper. From the results, it was found that the ride comfort was extremely improved when STSMC controller was used than when the uncontrolled MR and passive suspension systems were employed. The uncertainty of the STSMC was verified for different passenger masses and it achieved a robust control over load variation. The selected STSMC was validated with the first-order Sliding Mode Controller and the results were discussed in terms of time-domain analysis.

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Section: Introductionmentioning

confidence: 99%

Ride comfort analysis of driver seat using super twisting sliding mode controlled magnetorheological suspension system

Soosairaj

Kandavel

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…In the case of vibration control of vehicle suspension systems a set value, which is fed to the controller, is commonly equal to zero since the goal of the algorithm is to minimize vibration. Thus, the PID algorithm can be simplified to the sum of three feedback loops dedicated to the displacement, velocity and acceleration as was presented in Talib and Darus 34 and Metered et al 23 Furthermore, it is worth noticing that a classical idea of the gain scheduling, which is dependent on the set value does not fit in this case. However, other approaches to the gain scheduling dedicated to the semi-active dampers were presented in the literature, where the scheduling is dependent on the dominant frequency of the sinusoidal road-induced excitation 35 or on a general class of the road excitation.…”

Section: Classical Approach To Vibration Control Using Mr Dampersmentioning

confidence: 99%

“…Various optimization algorithms can be used for such a task, e.g. iterative learning algorithm applied in Talib and Darus 34 or particle swarm optimization algorithm used in Metered et al 23 However, the proposed methods require performing consecutive experiments and evaluating values of the quality index for different combinations of control parameters, which is very time-consuming. Thus, in this study the solution space was directly analyzed while consecutive candidates and direction of the search were selected manually.…”

Section: Skyhook and Pi Controlmentioning

confidence: 99%

Experimental analysis of vibration control algorithms applied for an off-road vehicle with magnetorheological dampers

Krauze

Kasprzyk

Kozyra

et al. 2018

Journal of Low Frequency Noise, Vibration and Active Control

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The paper presents an experimental analysis of the selected feedback vibration control schemes dedicated to magnetorheological dampers, related to ride comfort and road holding. They were applied in a complex vibration control system installed in a commercially available off-road vehicle. Original shock-absorbers of the vehicle were replaced with magnetorheological dampers. The control system takes advantage of numerous sensors installed in the vehicle tracking its motion, i.e. accelerometers, suspension deflection sensors (linear variable differential transformer) and IMU module. Vibration control algorithms: Skyhook, PI, and Groundhook were tested experimentally using mechanical exciters adapted for diagnosis of a vehicle suspension system. Since the presented semi-active vibration control requires the magnetorheological damper inverse model to be applied, accurate operation of this model significantly influences the quality of vibration control. Therefore, additional analysis was related to application of measurements from accelerometers or suspension deflection sensors in the inverse model. Presented variants of control algorithms were compared by means of transmissibility characteristics evaluated in the frequency domain as well as using ride-comfort-and drivingsafety-related quality indices. It was confirmed that the Skyhook control as well as PI improved ride comfort, whereas Groundhook control improved road holding and decreases vibration of the wheels. Furthermore, it was shown that both approaches to the relative velocity estimation, based on accelerometers and linear variable differential transformers, can be used in this application. However, the first solution gives better results in the case of the Skyhook and PI control, whereas application of LVDT sensors is better for the Groundhook algorithm.

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Design, Modeling, and Simulation of Low-Cost Magnetorheological Fluid-Based Prosthetic Leg

Shastry

Toby

Choi

et al. 2022

Lecture Notes in Mechanical Engineering

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Self-Tuning PID Controller with MR damper and Hydraulic Actuator for Suspension System

Cited by 8 publications

References 12 publications

Ride comfort analysis of driver seat using super twisting sliding mode controlled magnetorheological suspension system

Ride comfort analysis of driver seat using super twisting sliding mode controlled magnetorheological suspension system

Experimental analysis of vibration control algorithms applied for an off-road vehicle with magnetorheological dampers

Design, Modeling, and Simulation of Low-Cost Magnetorheological Fluid-Based Prosthetic Leg

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