A Novel Real-Time Robust Controller of a Four-Wheel Independent Steering System for EV Using Neural Networks and Fuzzy Logic

Article Engineering, Mechanical

Optimal Control Method of Path Tracking for Four-Wheel Steering Vehicles

Xiaojun Tan et al.

Summary: Path tracking is crucial for intelligent electric vehicles, and four-wheel steering (4WS) technology plays a significant role in improving accuracy and flexibility. However, the commonly used control methods for 4WS vehicles in path tracking do not fully utilize the additional steering freedom. To address this issue, a kinematic model without restrictions is derived, and the optimization of system control quantity is achieved through solving an optimization problem with constraints.

ACTUATORS (2022)

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Article Engineering, Marine

Design of Combined Neural Network and Fuzzy Logic Controller for Marine Rescue Drone Trajectory-Tracking

Duc-Anh Pham et al.

Summary: This paper introduces the application of a neural-fuzzy controller in marine rescue drones to enhance trajectory tracking efficiency, and conducts simulations using Matlab/Simulink for validation.

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)

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Article Chemistry, Multidisciplinary

Study on the Multi-Mode Optimal Control of Four-Wheel Steering Vehicle

Pengcheng Zhou et al.

Summary: This paper proposes a multi-mode optimal decision control system based on the dynamic model of the vehicle, which can improve the vehicle's performance under different working conditions. The system consists of multiple controllers and can match the optimal controller for different control strategies at different speeds and angles. The simulation results show that the system can achieve optimal performance and its comprehensive performance is better than that of a single controller.

APPLIED SCIENCES-BASEL (2022)

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Article Engineering, Electrical & Electronic

Integrated Path Tracking and Lateral Stability Control with Four-Wheel Independent Steering for Autonomous Electric Vehicles on Low Friction Roads

Yonghwan Jeong et al.

Summary: This paper presents a method for designing a controller that can achieve path tracking and lateral stability for an autonomous electric vehicle with four-wheel independent steering (4WIS) on low friction roads. By converting path tracking control to yaw rate tracking, the difficulties caused by low friction roads can be addressed. Simulation results demonstrate the effectiveness of the proposed controller for path tracking and lateral stability on low friction roads.

MACHINES (2022)

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Article Engineering, Electrical & Electronic

Steering Control in Electric Power Steering Autonomous Vehicle Using Type-2 Fuzzy Logic Control and PI Control

Bustanul Arifin et al.

Summary: This paper proposes a novel method for the steering control of autonomous vehicles based on type-2 fuzzy logic control combined with PI control, which produces better and smoother control compared to type-1 fuzzy logic control and PI control.

WORLD ELECTRIC VEHICLE JOURNAL (2022)

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Article Engineering, Mechanical

A New Torque Distribution Control for Four-Wheel Independent-Drive Electric Vehicles

Dejun Yin et al.

Summary: This paper proposes a new torque distribution control approach for four-wheel independent-drive electric vehicles, aiming to minimize longitudinal tire wear, increase generation of yaw moment by each tire, and achieve quicker yaw response. The proposed control approach shows better performance in hardware-in-the-loop simulations compared to prior torque distribution control methods.

ACTUATORS (2021)

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Article Computer Science, Software Engineering

Research on four-wheel independent steering intelligent control strategy based on minimum load

Huipeng Chen et al.

Summary: This article studies the adjustment principle of Ackerman angle around the new four-wheel independent steering system, proposing a new algorithm for optimal Ackerman angle allocation at full speed to improve steering stability and reduce tire wear. By optimizing the four-wheel rotation angle and driving force combined with the minimum load rule, the effectiveness of the proposed force and angle distribution algorithm for vehicle stability and tire wear optimization is demonstrated through system simulation and performance evaluation.

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2021)

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Article Chemistry, Multidisciplinary