Fractional order fuzzy sliding mode controller for the quarter car with driver model and dual actuators

Rajendiran, S.; Lakshmi, P.; Rajkumar, B.

doi:10.1049/iet-est.2016.0034

Cited by 12 publications

(4 citation statements)

References 21 publications

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“…It is flexible and can cast the solution to the problem in terms that human operators can understand but it requires large amounts of manual tuning and retuning even if the systems are similar. Fuzzy logic has been incorporated in many algorithms to control the active suspension systems, for example, a fractional order fuzzy sliding mode controller for a quarter-car with integrated seat suspension and driver model with eight degrees of freedom, 18 a comparison of conventional proportional-derivative and fuzzy proportional-derivative controllers, 19 a fuzzy tuned proportional-integral-derivative controller to minimize the body acceleration of the driver, 20 a comparison of linear quadratic regulator and fuzzy logic controllers, 21 fuzzy parameter identification by using particle swarm optimization techniques. 22…”

Section: Related Studiesmentioning

confidence: 99%

Design and comparisons of adaptive harmonic control for a quarter-car active suspension

Nichiţelea

Unguritu

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Car suspensions have the job to keep the tires in contact with the road surface as much as possible, to deliver steering stability with good handling and to guarantee passenger comfort. Most modern vehicles have independent front suspension and many vehicles also have independent rear suspension. Independent suspensions are preferred instead of dependent suspensions for their better ride handling, stability, steering and comfort but they provide less overall strength and a complex design which increases the cost and maintenance expenses for such a suspension. For this reason, automotive engineers struggle to discover new suspension components or advanced control solutions. Taking a step forward in this direction, the paper presents in the beginning one of the well-known mathematical models of a quarter-car active suspension. The obtained model is then implemented in a MATLAB/Simulink simulation which compares multiple control solutions. The only feedback considered for each control algorithm is the measurement of the body acceleration. Among these investigated control algorithms is the adaptive harmonic control solution proposed by this paper. The controller generates a harmonic control signal with variable amplitude and frequency based on the body acceleration feedback. The comparison analysis shows that the proposed control solution demonstrates quite good potential, generating in some cases better results than the other control algorithms.

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Section: Related Studiesmentioning

confidence: 99%

Design and comparisons of adaptive harmonic control for a quarter-car active suspension

Nichiţelea

Unguritu

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Therefore, the fractional order terminal sliding surface is chosen by combining the fractional order derivative and terminal values of the power as follows [35],…”

Section: Design Of Fractional Order Terminal Sliding Mode Controllermentioning

confidence: 99%

Archives of Control Sciences

Yuvapriya,

Lakshmi,

Rajendiran

2020

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The main goal of introducing Active Suspension System in vehicles is to reduce the vehicle body motion under road obstacles which improves the ride comfort of the passenger. In this paper, the Full Car Model (FCM) with seven Degrees of Freedom is considered and simulated by MATLAB/Simulink. The Terminal Sliding Mode Controller (TSMC) and Fractional Order Terminal Sliding Mode Controller (FOTSMC) are designed to enhance the ride quality, stability and passenger comfort for FCM. The designed FOTSMC has the ability to provide higher control accuracy in a finite time. The performances of the designed controllers are evaluated by measuring the vehicle body vibration in both angular and vertical direction under bump input and ISO-8608 random input against passive suspension system. The Frequency Weighted Root Mean Square (FWRMS) and Vibration dose value of Body Acceleration as per ISO-2631 are evaluated for FOTSMC, TSMC and PSS. The stability of the FCM is proved by Lyapunouv theory. Further analysis with sprung mass and speed variation of FCM demonstrate the robustness of proposed controller. To investigate the performances of designed controllers, comparison is made with existing Sliding Mode Controller (SMC) which proves that the designed FOTSMC performs better than existing SMC.

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“…Two additional integro‐differential fractional‐order variables have significantly ameliorated the flexibility and profitability of the innovative and conventional controllers. Inspired by this idea, fractional order PID , fractional order Fuzzy , fractional order sliding mode controller , and fractional order H∞ has been well constructed with great performance than their own controllers.…”

Section: Introductionmentioning

confidence: 99%

Optimal Fractional Order BELBIC to Ameliorate Small Signal Stability of Interconnected Hybrid Power System

Falehi

2019

Env Prog and Sustain Energy

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The small signal stability of power systems integrated with fallback large‐scale distributed energy resources is of utmost importance during the perturbation conditions. Among the various renewable resources in power systems: photovoltaic, fuel cell, wind turbine, diesel engine, aqua electrolyser, battery, ultra‐capacitor, and flywheel is becoming more favored in last decades. AGC, a main control system of frequency modulation, must correctly alleviate the low frequency oscillations caused by the perturbation and variable output power of renewable resources. In this regard, FOBELBIC is here introduced to enhance the damping capability of AGC. Since both the frequency and tie‐line power oscillations must be concomitantly alleviated, the small signal stability problem has been multi‐objectively formulated. Due to the exploration capability of MOALO, it has been chosen to extract the optimal parameters of FOBELBIC. Furthermore, MOPSO, MOBA, and NSGA‐II have been studied to demonstrate the capability of MOALO. To verify and validate the damping performance of suggested controller, it has been evaluated in three‐area reconstructed power system under the load perturbations as well as wind speed and sun radiation variations, and at the same time compared with BELBIC and PID controllers. Finally, the simulation results have evidently confirmed the damping the performance of MOALO‐based FOBELBIC to enhance the small signal stability of hybrid power system. © 2019 American Institute of Chemical Engineers Environ Prog, 38:e13146, 2019

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Fractional order fuzzy sliding mode controller for the quarter car with driver model and dual actuators

Cited by 12 publications

References 21 publications

Design and comparisons of adaptive harmonic control for a quarter-car active suspension

Design and comparisons of adaptive harmonic control for a quarter-car active suspension

Archives of Control Sciences

Optimal Fractional Order BELBIC to Ameliorate Small Signal Stability of Interconnected Hybrid Power System

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