Ride Comfort-Road Holding Trade-off Improvement of Full Vehicle Active Suspension System by Interval Type-2 Fuzzy Control

Yatak, Meral Özarslan; Şahin, Fatih

doi:10.1016/j.jestch.2020.10.006

Cited by 28 publications

(23 citation statements)

References 38 publications

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“…Especially common use of fuzzy logic in control systems was provided by Mamdani [19]. It is also used in control designs in automotive industry today [20]. Mamdani…”

Section: Fuzzy Logicmentioning

confidence: 99%

Design of Fuzzy Logic Supported Car Driver Control System

Özmen

Közkurt

2021

International Journal of Automotive Science and Technology

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Being one of the most basic needs of human life, vehicles are one of the basic building blocks of the transportation sector. Since automobiles are highly preferred, they cause intensity in daily traffic and the need for human control increases accordingly. Approximately 88% of traffic accidents occur due to driver-related errors and approximately 1.1% of the accidents are mortal. Although there are products and studies aimed to prevent human defects technologically, such as semi-autonomous, autonomous driving systems, and driving safety components, studies to improve people's driving abilities are rare. In this study, first of all, the conditions regarding proper and correct vehicle drive in traffic are examined. Then, the sensor and sensor systems that can control the conditions of frequently used cars are investigated. Fuzzy logic decision making model of the sensors and subsystems used in vehicles were designed and simulated in order to develop a car driver control system (CDCS) used to provide a safety control the vehicle in traffic. As a result of the study, the conceptual structure of a system that can solve decision making problem with fuzzy logic in controlling the car driver and a complex fuzzy logic model are presented. It is aimed to decrease the human defects in traffic, to teach driver to drive vehicle correctly, rapidly and economic.

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“…Especially common use of fuzzy logic in control systems was provided by Mamdani [19]. It is also used in control designs in automotive industry today [20]. Mamdani…”

Section: Fuzzy Logicmentioning

confidence: 99%

Design of Fuzzy Logic Supported Car Driver Control System

Özmen

Közkurt

2021

International Journal of Automotive Science and Technology

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“…Comfort and reliability testing is difficult to observe, time consuming and expensive with a 1/2 vehicle suspension system for motorcycles. Driving comfort can be found in the active suspension system [9] and requires an adaptive control system [10].…”

Section: Figure 1 Example Of Vehicles With Slow Settling Time [7]mentioning

confidence: 99%

Transient Response Performance Test on Aftermarket Motorcycle Rear Suspension in Indonesia

Patriawan¹,

Ulum²,

Alqoroni³

et al. 2021

JMESI

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Modification parts are found in Indonesia, one of which is suspension. This paper proves which after-market suspension has the best performance. These three suspensions were tested with a transient response with a test instrument that has an excitation height of 30 mm with a shaft rotational speed of 322 rpm. The observed responses are displacement and settling time. The test results without the addition of mass obtained a displacement of 25 mm for Aspira, 39 mm for AHM and 39 mm for Combiz. The addition of 30 kg mass resulted in 29 mm for Aspira, 38 mm for AHM and 23 mm for Combiz. Settling time without adding mass 1 s for Aspira and 1.2 s for AHM and 0.9 s for Combiz. With the addition of 30 kg mass obtained settling time of 1.3 s for Aspira, 1 s for AHM and 0.7 s for Combiz.

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“…Meanwhile, the irregular road surface directly affects the ride comfort and driving safety, which involves three performance indices, including the suspension deflection, the tire deflection, and the sprung mass acceleration. Meanwhile, the performance trade-off between the ride comfort and driving safety is the most fundamental requirement of the process of designing the reasonable vibration controller [18]. Recently, many advanced optimal control theories, combined with disturbance rejection, have been developed for vehicle active suspension, such as stochastic optimal control for delayed vehicle active suspension [19], approximation optimal vibration control for nonlinear vehicle active suspension [20], preview-based technique for vehicle active suspension control [21], linear-quadratic-regulator-based control for vehicle active suspension [22], and so on.…”

Section: Introductionmentioning

confidence: 99%

CAN-Based Vibration Control for Networked Vehicle Active Suspension with Both Network-Induced Delays and Packet-Dropouts

et al. 2022

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Ride comfort and driving safety are highly vulnerable to the undesirable excessive vibrations caused by road surface irregularities and the imperfect in-vehicle network (IVN). The main contribution of this paper consists of proposing a near-optimal vibration control approach for networked vehicle active suspension under irregular road excitations in a discrete-time domain, in which the uncertain time delay and packet dropout in CAN are taken into consideration. More specially, by virtue of two buffers of the sensor-to-controller network channel and the controller-to-actuator network channel in CAN, by introducing a designed state-transformation-based method, the original vibration control problem under the constraints of the irregular road excitations and imperfect CAN is transformed into a two-point boundary value (TPBV) problem without advanced and delayed items. After that, the near-optimal vibration control approach is presented to isolate the vehicle body from the road excitations and compensate the time delay and packet dropout from CAN synchronously. The stability condition of the networked vehicle active suspension under the proposed vibration controller is obtained based on the Lyapunov function. In numerous scenarios with different road roughnesses and network-induced time delays and packet dropouts, the simulation results illustrate the effectiveness and superiority of the proposed near-optimal vibration controller.

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Ride Comfort-Road Holding Trade-off Improvement of Full Vehicle Active Suspension System by Interval Type-2 Fuzzy Control

Cited by 28 publications

References 38 publications

Design of Fuzzy Logic Supported Car Driver Control System

Design of Fuzzy Logic Supported Car Driver Control System

Transient Response Performance Test on Aftermarket Motorcycle Rear Suspension in Indonesia

CAN-Based Vibration Control for Networked Vehicle Active Suspension with Both Network-Induced Delays and Packet-Dropouts

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