A real-time hardware-in-the-loop simulation platform for advanced control system design

本方案所要求的设备将用于构建先进控制系统设计的实时硬件在环（HIL）仿真平台。特别是，预计它将用于支持有关HCCI内燃机控制系统和电动助力转向系统容错控制的基础和应用层面的研究活动。具体而言，申请人目前正在进行的以下研究项目将极大地受益于提议的平台：HCCI内燃机的智能点火正时控制：在下一代汽车发动机的操作机制选择中，HCCI因其具有提供高燃油效率和低排放运行的潜力以及适应不同燃料（如汽油，柴油，替代燃料，天然气等）的灵活性而处于领先地位。为了方便HCCI的运行，需要新颖的智能控制机构。为此，研究了混合燃料下HCCI最优运行的智能控制策略。2. 电动助力转向系统的容错控制：由于电动助力转向（EPS）系统具有燃油效率高、安全性好、制造和维护成本低等诸多优点，其作为替代液压助力转向系统的有效解决方案，已被汽车行业迅速接受。在EPS系统需要解决的关键问题中，容错控制是保证系统运行过程安全可靠的关键。目前，申请人正在进行基于模型的无刷电机EPS系统故障检测与容错控制的研究。

The equipment requested in this proposal will be used to build a real time hardware-in-the-loop (HIL) simulation platform for advanced control system design. In particular, it is expected to be used to support research activities about control systems for HCCI combustion engines and fault tolerant control of electric power steering systems, both at fundamental and application levels. Specifically, the following research projects currently conducted by the applicant will extremely benefit from the proposed platform: 1. Intelligent ignition timing control for HCCI combustion engines: Among the choices of operating mechanism for next generation of automotive engines, HCCI is on top of all others due to its potential to provide high fuel efficiency yet low emission operation and its flexibility to accommodate different fuel such as gasoline, diesel, alternative fuel, natural gas, etc. Novel intelligent control mechanism is required to facilitate the HCCI operation. For this account, intelligent control strategy for optimal HCCI operation with fuel mixture is investigated.      2. Fault tolerant control for electric power steering systems: Electric power steering (EPS) systems have been accepted at an accelerated pace by the automotive industry as an effective solution to replace hydraulic power steering systems, due to various advantages of EPS systems including fuel efficiency, safety, and low cost for both manufacturing and maintenance. Among the key issues to be resolved in an EPS system, fault tolerant control is the most important one to guarantee safety and reliability during operating processes. Currently, the applicant is conducting research on exploring model based fault detection and tolerant control for the EPS system using brushless motors.