Active Suspension System Design Using Fuzzy Logic Control and Linear Quadratic Regulator

Abdeen, Ahmed A.; Ibrahim, Khalil; Nasr, Abo-Bakr M.

doi:10.1007/978-3-319-99010-1_14

Cited by 4 publications

(6 citation statements)

References 11 publications

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“…The response for other desired input angles (sinusoidal, circle, and lemniscate) using PID and fuzzy controllers is analyzed in terms of e RMS as shown in Fig. (39). The summary of results are given in Figs.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Fuzzy logic controller is a rule-based decision making good for process control and expert systems. A fuzzy controller acts or regulates by means of rules in a more or less natural language, based on the fuzzy logic rules that are invented by plant operators or design engineers [38][39][40]. The fuzzy controller block diagram proposed for this study is shown in Fig.…”

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

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Bilateral Control of a 2-DOF Teleoperated Manipulator Using UDP Scheme

Mohsen¹,

Ibrahim²

2021

Preprint

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In this paper, a workspace-control system was developed to deals with the problem of position-tracking of bilateral teleoperated two degrees of freedom manipulators, and aid the human operator in driving and controlling the slave robot that performs critical and difficult tasks such as under water works. The developed system consists of, "JUPITER XL SCARA" robot as a slave manipulator with only the first two links activated, a wireless User Datagram Protocol (UDP) network, and PC as a master controller. The system model parameters identified using the Least-Squares method. A PID and FLC controllers with different input signals were applied to the system. It was proved experimentally and by simulation on Matlab that the FLC gave a better performance than the PID controller. The two parallel loop subroutine technique proved a great enhancement to the system performance as it decreased the total delay time in the system to almost 25 milliseconds.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Fuzzy Logic Controller (Flc)mentioning

confidence: 99%

Bilateral Control of a 2-DOF Teleoperated Manipulator Using UDP Scheme

Mohsen¹,

Ibrahim²

2021

Preprint

Self Cite

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“…The two-degree-of-freedom (2DOF) system that represents the quarter car active suspension system is adopted from, 7,30 and this is illustrated in Figure 1. The model consists of a sprung mass, m b and an unsprung mass, m w .…”

Section: Mathematical Model Of Active Suspension Systemmentioning

confidence: 99%

“…As the passive suspension has fixed characteristics and is subject to disability to add energy, it does not involve a feedback control mechanism. 6,7 Previous studies 8,9 proved that the passive suspension systems are able to improve the ride quality but any responses of road and load disturbances cannot be fully controlled independently by any passive suspension system. Meanwhile, a semi-active system has a spring and controllable damper where the element of spring is used to store energy whereas the controllable damper is used to dissipate energy.…”

Section: Introductionmentioning

confidence: 99%

Control analysis of vehicle ride comfort through integrated control devices on the quarter and half car active suspension systems

Munawwarah

Yakub

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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This study proposed an integrated chassis control of the quarter car and half car active suspension systems to enhance vehicle ride comfort and road handling performance. The integrated controls of PID-LQR and Fuzzy-PID were designed to maximize driving comfort by keeping the vehicle wheels in contact with the road surface. The PID control which is commonly used in car manufacturing was set as a controller benchmark. Multiple road conditions such as speed bumps of different heights, 0.1 m < h < 0.3 m and widths, 0.3 m < d < 0.5 m were used in the system for analysis. In comparison with PID-LQR, Fuzzy-PID showed the lowest peak amplitude and reached the stability state in a minimum time against the controller benchmark. This indicates that vehicle ride comfort and road handling performance can be optimized using the proposed Fuzzy-PID control.

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“…As a result, the active suspension system with a PID controller gives the significant improvement by reducing the peak overshoot and faster settling time compare to passive suspension system. Other papers that proposed the application of PID in vibration control of quarter car active suspension system are presented in [18][19]. The application of LQR has been critically investigated in Electromagnetic Suspension (EMS) System in stabilizing the vehicle response [20].…”

Section: Intelligent Based Vibration Control Towards the Improvement Of Vehicle Ride Comfortmentioning

confidence: 99%

Intelligent Based Vibration Control towards the Improvement of Vehicle Ride Comfort

Munawwarah*,

Yakub*,

Muhammad

et al. 2020

IJRTE

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The mechanism of vehicle suspension system is splitting the car body from the tire of the car. The suspension system is an important element in vehicle design because it effects the ride comfort and passenger’s safety. These two criteria are conflicting to each other. Therefore, this paper proposes an intelligent chassis control of quarter car active suspension system to enhance the vehicle ride comfort and road holding performance. The fuzzy logic control is designed to maximize the driving comfort by keeping the wheel always in contact with road surfaces. Several scenario has been created for analysis purposes. The performance of the fuzzy logic is compared with the PID control and LQR control method respectively. The novelty of this paper is, the ride comfort is measured up to higher derivative of motion. No significant literature was found on the higher derivative of motion such as jerking to improve the ride comfort. Based on the simulation results, Fuzzy logic outperforms the other two controllers on car body displacement, car body acceleration, wheel deflection and jerking with with higher percentage of improvement compare to PID control and passive suspension system.

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Active Suspension System Design Using Fuzzy Logic Control and Linear Quadratic Regulator

Cited by 4 publications

References 11 publications

Bilateral Control of a 2-DOF Teleoperated Manipulator Using UDP Scheme

Bilateral Control of a 2-DOF Teleoperated Manipulator Using UDP Scheme

Control analysis of vehicle ride comfort through integrated control devices on the quarter and half car active suspension systems

Intelligent Based Vibration Control towards the Improvement of Vehicle Ride Comfort

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