报告内容摘要：

Recently, Steer-by-Wire (SBW) systems have been developed in road vehicles to replace the current electric power and hydraulic power-assisted steering systems, owing to the relaxed installation constraints, reduced power consumption and enhanced vehicle stability and safety. Due to the fact that large system parameter uncertainties and tyre self-aligning torque are involved in the SBW systems, robust steering controllers should be carefully designed to achieve excellent steering performance for different driving environment and road conditions.

In this talk, our recent work of developing a novel adaptive terminal sliding mode (ATSM) control scheme for an SBW vehicle will be presented. It will be shown that the developed ATSM controller can drive the closed-loop error dynamics to converge to zero in a finite time, where adaptive laws are applied to estimate the uncertain bounds of the system parameters and disturbances in Lyapunov sense. Compared with the sliding mode-based SBW control systems, the proposed ATSM control not only assures the finite-time error convergence and strong robustness with respect to parameter uncertainties and varying driving conditions, but requires no prior knowledge of the system parameters and road information. Experimental results from an SBW vehicle will be demonstrated to verify the remarkable performance of the proposed control in terms of the robustness, error convergence and road disturbance attenuation, in comparison with other control strategies.
 
报告人简介：

王海，1984年生，合肥工业大学电气与自动化工程学院教授 （黄山青年学者）、硕士生导师、IEEE Member, 中国自动化学会控制理论专业委员会(TCCT)非连续控制学组委员。

2013年博士毕业于澳大利亚斯文本科技大学，2013-2014年，澳大利亚斯文本科技大学博士后研究员，兼任浙江丽水中澳线控科技有限公司首席研发工程师，2015年1月加入合肥工业大学电气与自动化工程学院，任教授（黄山青年学者）。主要研究领域为变结构与非线性控制理论及其在汽车中的应用，模糊系统、神经网络及优化算法在复杂系统建模和控制方面的应用，汽车动力学建模及控制控制研究，汽车稳定性控制与主动安全的应用研究,机电一体化应用研究等；现主持国家自然科学基金青年基金1项，合肥工业大学应用科技成果项目1项和黄山青年学者科研启动项目1项。近几年来，在智能控制应用领域，特别是在线控转向系统方向，取得丰富的科研成果。共发表国际知名SCI期刊论文近20篇（其中包括自动控制应用领域的国际顶级期刊IEEE Transactions on Industrial Electronics /Industrial Informatics/Mechatronics/Vehicular Technology, International Journal of Robust and Nonlinear Control, Nonlinear Dynamics, IET Control Theory and Applications, Neural Computing and Applications等）。2012年获澳大利亚电气与电子工程期刊杂志特刊封面奖，2013年获国家汽车工程师协会澳大利亚分会研究生杰出贡献奖。
 
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