N. Irimia, F. Lazar, M. Luchian, Alexandru Ipatiov
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The paper presents a theoretical study doubled by a simulation analysis of some efficient strategies for controlling a redundant actuation system, which is viable both in normal and fault mode operation. In order to provide a high level of redundancy in both hardware and software, this concept implies the use of two independent control systems that provide command to two B6 bridge inverters and feeds the phases of a dual stator brushless direct current (BLDC) motor. The proposed system can be successfully integrated both in the electric power steering and braking systems of today's modern vehicles, as well as in autonomous driving platforms. To obtain a reliable and realistic BLDC motor model, the mathematical analysis was matched to a specific model design obtained in FEA (Finite Element Analysis). 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At the heart of this concept is the need to provide new solutions dedicated to increase safety in operation, reduce the risk of accidents and make automotive systems more efficient. To meet these criteria, the new systems need to be as reliable as possible, provide complete full-time assistance and be also able to provide partial assistance in case of fault (1 FIT - Failure in Time). To this is added the requirement for reduced energy consumption, which implies higher efficiency of the considered systems. The paper presents a theoretical study doubled by a simulation analysis of some efficient strategies for controlling a redundant actuation system, which is viable both in normal and fault mode operation. In order to provide a high level of redundancy in both hardware and software, this concept implies the use of two independent control systems that provide command to two B6 bridge inverters and feeds the phases of a dual stator brushless direct current (BLDC) motor. The proposed system can be successfully integrated both in the electric power steering and braking systems of today's modern vehicles, as well as in autonomous driving platforms. To obtain a reliable and realistic BLDC motor model, the mathematical analysis was matched to a specific model design obtained in FEA (Finite Element Analysis). 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引用次数: 6
摘要
当前汽车行业的趋势越来越关注自动驾驶的概念。这一概念的核心是需要提供新的解决方案,以提高操作安全性,降低事故风险,提高汽车系统的效率。为了满足这些标准,新系统需要尽可能可靠,提供完整的全时协助,并能够在故障情况下提供部分协助(1 FIT - Failure in Time)。除此之外,还增加了降低能耗的要求,这意味着所考虑的系统的效率更高。本文对冗余作动系统的有效控制策略进行了理论研究和仿真分析,这些策略在正常模式和故障模式下都是可行的。为了在硬件和软件上提供高水平的冗余,这个概念意味着使用两个独立的控制系统,为两个B6桥式逆变器提供命令,并为双定子无刷直流(BLDC)电机的相位提供馈电。所提出的系统可以成功地集成到当今现代车辆的电动转向和制动系统以及自动驾驶平台中。为了获得可靠、真实的无刷直流电机模型,将数学分析与有限元分析中得到的具体模型设计相匹配。为了验证所提出的理论方面,本研究随后在MATLAB / Simulink仿真环境中实现了等效数学模型。
Improved Fault Tolerant Control of a Redundant Actuation System Provided with Dual Stator Six Phases BLDC Motor for Autonomous Driving Applications
Current trends in the automotive industry are increasingly focusing on the concept of autonomous/ automated driving. At the heart of this concept is the need to provide new solutions dedicated to increase safety in operation, reduce the risk of accidents and make automotive systems more efficient. To meet these criteria, the new systems need to be as reliable as possible, provide complete full-time assistance and be also able to provide partial assistance in case of fault (1 FIT - Failure in Time). To this is added the requirement for reduced energy consumption, which implies higher efficiency of the considered systems. The paper presents a theoretical study doubled by a simulation analysis of some efficient strategies for controlling a redundant actuation system, which is viable both in normal and fault mode operation. In order to provide a high level of redundancy in both hardware and software, this concept implies the use of two independent control systems that provide command to two B6 bridge inverters and feeds the phases of a dual stator brushless direct current (BLDC) motor. The proposed system can be successfully integrated both in the electric power steering and braking systems of today's modern vehicles, as well as in autonomous driving platforms. To obtain a reliable and realistic BLDC motor model, the mathematical analysis was matched to a specific model design obtained in FEA (Finite Element Analysis). In order to validate the presented theoretical aspects, this study is followed by the implementation of the equivalent mathematical models in MATLAB / Simulink simulation environment.