CAREER: Integrated Estimation and Control of Over-Actuated Lightweight Electric Vehicles for Sustainable and Safe Mobility

职业：过度驱动轻型电动汽车的综合估计和控制，实现可持续和安全的出行

• 批准号: 1149657
• 负责人: Junmin Wang
• 金额: $ 40万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1149657&HistoricalAwards=false
• 关键词: CAREER; Integrated; Estimation; Control; Over

The research objectives of this Faculty Early Career Development (CAREER) program project are: 1) to create new theoretical methods and tools that allow systematic utilization of actuation-redundancy to achieve output-independent parameter estimation and its seamless synthesis with adaptive control for improving transient control performance of over-actuated systems under extreme conditions; and 2) to develop new active vehicle control methodologies that can explicitly address the lightweight vehicle (LWV) payload variation challenges and substantially improve LWV safety by judiciously employing the actuation-redundancy furnished by in-wheel motors on electric vehicles. Such research objectives will be pursued via fundamental theoretical and experimental studies. System evaluations and validations will be conducted by simulations and experiments. If successful, the research results will advance the active vehicle control by enabling accurate estimations of LWV parameters without affecting vehicle motions and systematically incorporating the estimated LWV parameters into the coordinated control of redundant actuators to improve the LWV motion control performance under extreme conditions. These methods will dramatically improve the safety of LWVs and thus enabling their widespread utilization, which will significantly and positively impact the energy and environmental (including greenhouse gases) concerns in the nation's transportation sector. Furthermore, the output-independent parameter estimation and integrated parameter estimation and control methods can advance the current control of other over-actuated systems such as aerospace, robotic, and biomedical systems. The research results from this project will be used to enrich two undergraduate/graduate courses and disseminated to industry. Undergraduate student research and high-school internship opportunities will be generated through collaboration with Ohio State University Women in Engineering Program and K-12 summer camp to engage students, particularly those from underrepresented groups.

本项目的研究目标是：1）创建新的理论方法和工具，允许系统地利用驱动冗余来实现与输出无关的参数估计及其与自适应控制的无缝合成，以改善极端条件下过驱动系统的瞬态控制性能; 2）开发新的主动车辆控制方法，该方法可以明确地解决轻型车辆（LWV）有效载荷变化的挑战，并通过明智地使用电动车辆上的轮内电机提供的致动冗余来显著提高LWV安全性。这些研究目标将通过基础理论和实验研究来实现。系统评估和验证将通过模拟和实验进行。如果成功的话，研究结果将推进主动车辆控制，使LWV参数的准确估计，而不影响车辆运动和系统地将估计的LWV参数的冗余执行器的协调控制，以提高LWV运动控制性能在极端条件下。这些方法将大大提高轻型货车的安全性，从而使其得到广泛利用，这将对国家运输部门的能源和环境（包括温室气体）问题产生重大而积极的影响。此外，输出无关的参数估计和集成的参数估计和控制方法可以提高其他过驱动系统，如航空航天，机器人和生物医学系统的当前控制。该项目的研究成果将用于充实两个本科生/研究生课程，并向工业界传播。本科生的研究和高中实习机会将通过与俄亥俄州州立大学妇女工程计划和K-12夏令营的合作产生，以吸引学生，特别是那些来自代表性不足的群体。