A5057425426- Vehicle Dynamics and Control Systems
- Hydraulic and Pneumatic Systems
- Electric and Hybrid Vehicle Technologies
- Traffic control and management
- Industrial Technology and Control Systems
- Control Systems in Engineering
- Autonomous Vehicle Technology and Safety
- Sensorless Control of Electric Motors
- Mechanical Engineering and Vibrations Research
- Advanced Sensor and Control Systems
- Control and Dynamics of Mobile Robots
- Adaptive Control of Nonlinear Systems
- Simulation and Modeling Applications
Yanshan University
2023-2024
Liaocheng University
2020-2022
Intelligent driving system requires more precise and reliable steering control, steering-by-wire (SBW) technology can better adapt to the development of autonomous driving. The permanent magnet synchronous motor (PMSM) servo is actuator SBW. Aiming at uncertainties PMSM system, a new adaptive control method for proposed. Parameter laws are designed each slowly varying parameter unknown parameter, robust terms introduced uncertainties. convergence speed law proposed be improved by adjusting...
Human–machine cooperation (HMC) driving can realize the sharing of vehicle control rights between drivers and autonomous systems. However, system disturbances parameter uncertainties introduced by HMC are also inevitable. To solve above problems, this study proposes an steering torque method based on model reference adaptive (MRAC). First, to describe driver’s operating behavior transient characteristics vehicle, vehicle-road with input is established. Then, exponential decay function taken...
When a vehicle hits pothole, the reaction force of pothole on tire causes an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">imbalance</i> in driving forces both sides and may cause wheels to jump, potentially resulting path deviation roll instability. To address these issues, cooperative control system for tracking stability is proposed. Roll achieved by moment generated reasonably distributing torque among four IWMs. The necessary...
During natural disasters, stepped roads often emerge, and the limited coordination control capabilities of traditional vehicle suspensions on such significantly hinder rescue operations. To tackle this challenge, a coordinated process controller for multiple corner module architecture intelligent electric vehicles (C-V) is proposed. Initially, designed, an analysis stability mechanisms involved conducted. Addressing dynamic issues related to process, novel model established, considering...
Vehicle lateral motion control is a critical technology for fully automated driving. However, the nonlinearity of vehicle and uncertainty state parameters present significant challenges precise control. To address these problems, adaptive backstepping fuzzy (ABFC) approach autonomous vehicles' proposed. The steering system model dynamics are combined into strict feedback to represent response under inputs. ABFC strategy designed using logic approximate nonlinear unknown in model, improving...
The existing path tracking methods usually neglect the effect of drivers on steering control. This paper proposes a robust control method human-machine torque superposition based linear matrix inequality (LMI) algorithm. First, model for solving introduces system and resistance in addition to vehicle model, which increases nonlinearity uncertainty system, human also external interferences. Therefore, this LMI algorithm reduce interference influence uncertain factors improve performance by...
The total driving force available for electric vehicles (EVs) on split ramps will be limited by the ground adhesion conditions, causing insufficient traffic ability and bad handling stability. This article proposes a traction control system (TCS) to address these issues. TCS is built with conditional integral-error sliding mode (CSMC) dual-mode coupling drive (DMCDS), which simplifies structure, increases controller's uncertainty parameters models, improves dynamics performance. designed...
As the level of vehicle intelligence increases, amount communication data is also constantly increasing. At same time, there parameter uncertainty and unknown disturbances in system modeling poses challenges to precise control states. To address these challenges, an event-triggered adaptive fuzzy presented. The logic (FLS) approximates boundary uncertain parameters nonlinearity system, which ensures accuracy robustness system. Additionally, reduce burden vehicle, event-triggering strategy...
The Corner Module Architecture (CMA) integrates a steering system, drive/brake and an active suspension system at each wheel. Since electric vehicles are characterized by simple structure, high control precision, fast response speed compared to conventional vehicles, excellent carrier for CMA intelligent vehicles. can fully utilize the vehicle's maneuverability passability on severe roads after rain snow coordinating of four-wheel (4WS) (ASS). However, unknown road conditions when vehicle is...