Research on Fuzzy Logic Algorithm and Analogue Experiment on Active Suspension Control of Vehicle

Several studies exist on topics of semi-active suspension and vehicle cruise control systems in the literature, while many of them just consider actual road distortions and terrain characteristics, these systems are not adaptive and their subsystems designed separately. This study introduces a new method where the integration of look-ahead road data in the control of the adaptive semi-active suspension, where it is possible to the trade-off between comfort and stability orientation. This trade-off is designed by the decision layer, where the controller is modified based on prehistorical passive suspension simulations, vehicle velocity and road data, while the behavior of the controller can be modified by the use of a dedicated scheduling variable. The adaptive semi-active suspension control is designed by using Linear Parameter Varying (LPV) framework. In addition to this, it proposes designing the vehicle velocity for the cruise controller by considering energy efficiency and comfort together. TruckSim environment is used to validate the operation of the proposed integrated cruise and semi-active suspension control system.

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Comprehensive Analysis for Influence of Controllable Damper Time Delay on Semi-Active Suspension Control Strategies

Journal of Vibration and Acoustics ◽

10.1115/1.4035700 ◽

2017 ◽

Vol 139 (3) ◽

Cited By ~ 49

Author(s):

Yechen Qin ◽

Feng Zhao ◽

Zhenfeng Wang ◽

Liang Gu ◽

Mingming Dong

Keyword(s):

Time Delay ◽

Dynamic Characteristics ◽

Ride Comfort ◽

Hybrid Control ◽

Sliding Mode ◽

Control Strategies ◽

Active Suspension ◽

Test System ◽

Suspension Control ◽

Simulation Results

This paper presents a comprehensive comparison and analysis for the effect of time delay on the five most representative semi-active suspension control strategies, and refers to four unsolved problems related to semi-active suspension performance and delay mechanism that existed. Dynamic characteristics of a commercially available continuous damping control (CDC) damper were first studied, and a material test system (MTS) load frame was used to depict the velocity-force map for a CDC damper. Both inverse and boundary models were developed to determine dynamic characteristics of the damper. In addition, in order for an improper damper delay of the form t+τ to be corrected, a delay mechanism of controllable damper was discussed in detail. Numerical simulation for five control strategies, i.e., modified skyhook control SC, hybrid control (HC), COC, model reference sliding mode control (MRSMC), and integrated error neuro control (IENC), with three different time delays: 5 ms, 10 ms, and 15 ms was performed. Simulation results displayed that by changing control weights/variables, performance of all five control strategies varied from being ride comfort oriented to being road handling oriented. Furthermore, increase in delay time resulted in deterioration of both ride comfort and road handling. Specifically, ride comfort was affected more than road handling. The answers to all four questions were finally provided according to simulation results.

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A fuzzy logic algorithm derived mechatronic concept prototype for crop damage avoidance during eco-friendly eradication of intra-row weeds

Artificial Intelligence in Agriculture ◽

10.1016/j.aiia.2020.06.004 ◽

2020 ◽

Vol 4 ◽

pp. 116-126

Author(s):

Satya Prakash Kumar ◽

V.K. Tewari ◽

Abhilash K. Chandel ◽

C.R. Mehta ◽

Brajesh Nare ◽

...

Keyword(s):

Fuzzy Logic ◽

Crop Damage ◽

Fuzzy Logic Algorithm ◽

Damage Avoidance

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Multiple power quality events recognition and classification based on adaptive Eigen-based type-2 fuzzy logic algorithm

Iran Journal of Computer Science ◽

10.1007/s42044-021-00088-0 ◽

2021 ◽

Author(s):

Rahul

Keyword(s):

Fuzzy Logic ◽

Power Quality ◽

Fuzzy Logic Algorithm ◽

Multiple Power

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A Kalman filtering fuzzy logic algorithm for recognition of lane departure

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189970 ◽

2021 ◽

pp. 1-8

Author(s):

Kai Ren

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Kalman Filtering ◽

Traffic Accidents ◽

Region Of Interest ◽

Fuzzy Logic Algorithm ◽

The Road ◽

Departure Decision ◽

Lane Departure ◽

Fusion Analysis

In all kinds of traffic accidents, the unconscious departure of the vehicle from the lane is one of the most important reasons leading to the occurrence of these accidents. In view of the specific problem of lane departure, a lane departure decision-making method is established without calibration relying on the Kalman filtering fuzzy logic algorithm, according to the characteristics of expressway lanes, based on the machine vision and hearing fusion analysis of lane departure, integrating the extraction of the linear lane line model and the region of interest (ROI) in this paper to judge the degree of vehicle departure from the lane by integrating the slope values of the 2 lane lines in the road image. The results show that the system has good lane recognition capabilities and accurate departure decision-making capabilities, and meet the lane departure warning requirements in the expressway environment.

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