共查询到20条相似文献,搜索用时 15 毫秒
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针对智能汽车运动过程中存在的车身姿态变化问题以及运动控制精度问题,设计了一种基于非线性3自由度动力学模型的模糊滑模横向运动控制器。建立了包括侧倾运动的3自由度动力学模型,进行了模型线性化;对基于线性化处理后的动力学模型进行了滑模控制器设计,通过控制前轮转角实现了路径跟踪横向控制,并引入了模糊控制提高控制效果,本控制系统能够在跟踪过程中对车身姿态变化进行观察。仿真结果表明,搭建的基于3自由度动力学模型的模糊滑模控制器能够在考虑侧倾运动的基础上,实现路径跟踪,且构建的模糊滑模控制系统相较于传统滑模控制其横向偏差与方向偏差分别降低了7.28%和1.50%,同时模糊控制也减弱了滑模控制固有的抖振影响。 相似文献
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W. -N. Bao L. -P. Chen Y. -Q. Zhang Y. -S. Zhao 《International Journal of Automotive Technology》2012,13(7):1057-1065
A fuzzy adaptive sliding mode controller for an air spring active suspension system is developed. Due to nonlinearity, preload-dependent spring force and parameter uncertainty in the air spring, it is difficult to control the suspension system. To achieve the desired performance, a fuzzy adaptive sliding mode controller (FASMC) is designed to improve the passenger comfort and the manipulability of the vehicle. The fuzzy adaptive system handles the nonlinearity and uncertainty of the air suspension. A normal linear suspension model with an optimal state feedback control is designed as the reference model. The simulation results show that this control scheme more effectively and robustly isolates vibrations of the vehicle body than the conventional sliding mode controller (CSMC). 相似文献
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Xuewu Ji Xiangkun He Chen Lv Jian Wu 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2018,56(6):923-946
Modelling uncertainty, parameter variation and unknown external disturbance are the major concerns in the development of an advanced controller for vehicle stability at the limits of handling. Sliding mode control (SMC) method has proved to be robust against parameter variation and unknown external disturbance with satisfactory tracking performance. But modelling uncertainty, such as errors caused in model simplification, is inevitable in model-based controller design, resulting in lowered control quality. The adaptive radial basis function network (ARBFN) can effectively improve the control performance against large system uncertainty by learning to approximate arbitrary nonlinear functions and ensure the global asymptotic stability of the closed-loop system. In this paper, a novel vehicle dynamics stability control strategy is proposed using the adaptive radial basis function network sliding mode control (ARBFN-SMC) to learn system uncertainty and eliminate its adverse effects. This strategy adopts a hierarchical control structure which consists of reference model layer, yaw moment control layer, braking torque allocation layer and executive layer. Co-simulation using MATLAB/Simulink and AMESim is conducted on a verified 15-DOF nonlinear vehicle system model with the integrated-electro-hydraulic brake system (I-EHB) actuator in a Sine With Dwell manoeuvre. The simulation results show that ARBFN-SMC scheme exhibits superior stability and tracking performance in different running conditions compared with SMC scheme. 相似文献
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针对智能车辆纵向运动时的交通道路适应性问题,考虑路面附着系数和前车运动速度等因素,研究了智能车辆纵向运动决策与控制方法。论文研究了基于车头时距的纵向运动决策方法并建立不同驾驶行为的目标车速模型,运用变论域模糊推理算法设计了目标加速度模型。基于纵向动力学模型,运用自适应反演滑模控制算法建立了驱动控制器和制动控制器。对高附着系数路面和低附着系数路面的行驶工况进行仿真试验验证,结果表明,在不同的附着系数路面和前车变速行驶条件下,智能车辆能实时、合理地决策目标车速、目标加速度,实现安全、高效、稳定的跟驰。 相似文献
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Penglei Dai Jay Katupitiya 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2018,56(11):1682-1716
The aim of this paper is to present a novel control method for a four-wheel steer and four-wheel drive (4WS4WD) vehicle. The novelty is in the integration of sliding mode control (SMC) and particle swarm optimization (PSO) that is proposed to solve the control problem caused by the nonlinear, highly coupled and over-actuated characteristics of the four-wheel steer and four-wheel drive (4WS4WD) vehicle. The validity of the control method is evaluated by two criterions, namely path following performance assessed by the vehicle's position errors with respect to the reference path, and motion quality reflected by the smoothness of vehicle's velocities and accelerations. In vehicle modelling, a kinematic model and a dynamic model considering all slip forces are proposed for the controller design. Simulation results are provided to demonstrate the applicability of the proposed methodology and its robustness. 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(2):215-236
In this paper, a systematic design with multiple hierarchical layers is adopted in the integrated chassis controller for full drive-by-wire vehicles. A reference model and the optimal preview acceleration driver model are utilised in the driver control layer to describe and realise the driver's anticipation of the vehicle's handling characteristics, respectively. Both the sliding mode control and terminal sliding mode control techniques are employed in the vehicle motion control (MC) layer to determine the MC efforts such that better tracking performance can be attained. In the tyre force allocation layer, a polygonal simplification method is proposed to deal with the constraints of the tyre adhesive limits efficiently and effectively, whereby the load transfer due to both roll and pitch is also taken into account which directly affects the constraints. By calculating the motor torque and steering angle of each wheel in the executive layer, the total workload of four wheels is minimised during normal driving, whereas the MC efforts are maximised in extreme handling conditions. The proposed controller is validated through simulation to improve vehicle stability and handling performance in both open- and closed-loop manoeuvres. 相似文献
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This paper proposes a nonlinear adaptive sliding mode control that aims to improve vehicle handling through a Steer-By-Wire
system. The designed sliding mode control, which is insensitive to system uncertainties, offers an adaptive sliding gain to
eliminate the precise determination of the bound of uncertainties. The sliding gain value is calculated using a simple adaptation
algorithm that does not require extensive computational load. Achieving the improved handling characteristics requires both
accurate state estimation and well-controlled steering inputs from the Steer-By-Wire system. A second order sliding mode observer
provides accurate estimation of lateral and longitudinal velocities while the driver steering angle and yaw rate are available
from the automotive sensors. A complete stability analysis based on Lyapunov theory has been presented to guarantee closed
loop stability. The simulation results confirmed that the proposed adaptive robust controller not only improves vehicle handling
performance but also reduces the chattering problem in the presence of uncertainties in tire cornering stiffness. 相似文献
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Brake systems of the future, including BBW (Brake-by-Wire), are in development in various forms. In one of the proposed hydraulic BBW systems, an electric booster system replaces the pneumatic brake booster with an electric motor and a rotational-to-linear motion mechanism. This system is able to provide improved braking performance by the design of controllers with precise target pressure tracking and control robustness for better system reliability. First, a sliding mode controller is designed using the Lyapunov function approach to secure the robustness of the system against both the model uncertainty and the disturbance caused by the master cylinder and mechanical components. Next, a simulation tool is constructed to validate the electric booster system with the proposed controller. Finally, the electric booster system is implemented into an actual brake ECU and installed in a vehicle for testing under various braking conditions. The experimental results demonstrate that the proposed controller produces faster pressure build-up performance than the conventional brake system, and its tracking performance is sufficient to ensure comfortable braking. 相似文献
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为了进一步提高车辆跟车过程中的跟踪性、安全性、舒适性和燃油经济性,针对已有间距策略表现过于保守或反应过于激烈等不足之处,提出了一种预测恒定车头时距策略。该策略考虑了相对加速度,建立了一种预测型期望车间距模型,进而应用于模型预测控制的多目标自适应巡航控制系统中,能进一步提高模型预测控制对多个控制目标的综合协调能力。搭建上层控制器、下层PID控制器、油门制动切换、逆纵向动力学模型。在多工况下仿真,通过建立性能评判指标对多目标进行量化分析。结果表明,所提出的间距策略在保证安全性的前提下,提升了自适应巡航控制系统的综合性能。在不同驾驶风格的车头时距下,跟踪性、舒适性和燃油经济性均有良好表现。 相似文献
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Eunhyek Joa Kwanwoo Park Youngil Koh Kilsoo Kim 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2018,56(4):579-603
This paper presents a tyre slip-based integrated chassis control of front/rear traction distribution and four-wheel braking for enhanced performance from moderate driving to limit handling. The proposed algorithm adopted hierarchical structure: supervisor – desired motion tracking controller – optimisation-based control allocation. In the supervisor, by considering transient cornering characteristics, desired vehicle motion is calculated. In the desired motion tracking controller, in order to track desired vehicle motion, virtual control input is determined in the manner of sliding mode control. In the control allocation, virtual control input is allocated to minimise cost function. The cost function consists of two major parts. First part is a slip-based tyre friction utilisation quantification, which does not need a tyre force estimation. Second part is an allocation guideline, which guides optimally allocated inputs to predefined solution. The proposed algorithm has been investigated via simulation from moderate driving to limit handling scenario. Compared to Base and direct yaw moment control system, the proposed algorithm can effectively reduce tyre dissipation energy in the moderate driving situation. Moreover, the proposed algorithm enhances limit handling performance compared to Base and direct yaw moment control system. In addition to comparison with Base and direct yaw moment control, comparison the proposed algorithm with the control algorithm based on the known tyre force information has been conducted. The results show that the performance of the proposed algorithm is similar with that of the control algorithm with the known tyre force information. 相似文献
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基于高阶滑模混沌控制的快速稳定和高效鲁棒特点,建立了柴油机EGR系统动态数学模型;设计了柴油机EGR系统的误差评估滑模面、滑模控制率与混沌控制器;针对EGR阀动态控制规律与响应迟滞机理,制订了柴油机EGR阀的控制、修正与优化策略。利用Control Core软件,对EGR阀的响应特性、占空比和EGR率进行了仿真,实现了高阶滑模混沌控制器对EGR系统精确修正、优化与控制。依据柴油机瞬态测试循环法规,进行了增压柴油机EGR系统的动态响应特性和排放测试等试验。试验结果表明,该高阶滑模混沌控制器性能可靠、处理能力强、控制精度高,满足柴油机EGR系统的控制要求。 相似文献
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Antonio Tota Basilio Lenzo Qian Lu Aldo Sorniotti Patrick Gruber Saber Fallah Mauro Velardocchia Enrico Galvagno Jasper De Smet 《International Journal of Automotive Technology》2018,19(5):811-823
With the advent of electric vehicles with multiple motors, the steady-state and transient cornering responses can be designed and implemented through the continuous torque control of the individual wheels, i.e., torque-vectoring or direct yaw moment control. The literature includes several papers on sliding mode control theory for torque-vectoring, but the experimental investigation is so far limited. More importantly, to the knowledge of the authors, the experimental comparison of direct yaw moment control based on sliding modes and typical controllers used for stability control in production vehicles is missing. This paper aims to reduce this gap by presenting and analyzing an integral sliding mode controller for concurrent yaw rate and sideslip control. A new driving mode, the Enhanced Sport mode, is proposed, inducing sustained high values of sideslip angle, which can be limited to a specified threshold. The system is experimentally assessed on a four-wheel-drive electric vehicle. The performance of the integral sliding mode controller is compared with that of a linear quadratic regulator during step steer tests. The results show that the integral sliding mode controller significantly enhances the tracking performance and yaw damping compared to the more conventional linear quadratic regulator based on an augmented singletrack vehicle model formulation. 相似文献
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Xiaodong Wu Mingming Zhang Min Xu Yo Kakogawa 《International Journal of Automotive Technology》2018,19(1):159-166
The tracking control of the steer-by-wire (SBW) system to achevie desired steering motion is the core issue for the design of algorithm. Most of model-based tracking control assumed the constant parameters without the consideration of dynamic characteristics. The external disturbances and model nonlinearities can bring uncertainties of the system parameters. To reduce the influence of parameter uncertainties, an online estimator by output error identification method is proposed to estimate the dynamic parameters of a SBW system. Meanwhile, the parameter gradient projection method is applied to eliminate the parameter drift, while a full order state observer is developed to weaken the effects of noise disturbance during the parameter identification. Since the sensitivity of parameter uncertainties for the feedforward control, the online estimator is incorporated into the control model and improve the controlled robustness. The proposed adaptive feedforward controller is conducted by the real-time experiments to show the tracking performance. 相似文献