【24h】

Rapid Control Prototyping of Automatic Climate Control Systems

机译:自动气候控制系统的快速控制原型

获取原文
获取原文并翻译 | 示例

摘要

Automatic climate control systems in vehicle applications are very complex systems. There is a variety of connections to and from other vehicle systems (engine and engine cooling, cabin, passengers and HMI, environment). The control algorithms are currently based on classic control concepts with a huge set of expert rules. The design and test of these expert rules during simulated and real driving conditions is a key factor for a successful development (time, costs and quality) of an automatic climate control system. This paper presents experiences that have been made during the design of a rapid control prototyping (RCP) system for an automatic climate control system. The advantages and drawbacks of a model-based control system specification are discussed. The concept of bypassing on CAN is shown. Suggestions for future improvements of the applied standard tools are made. Further more, the importance of real-time plant models (RTL) for hardware-in-the-loop applications, model-based control concepts and online diagnosis tools are discussed. Concepts for the derivation of RTL models from more detailed, but non real-time software models are presented.
机译:车辆应用中的自动气候控制系统是非常复杂的系统。与其他车辆系统(发动机和发动机冷却,机舱,乘客和HMI,环境)之间存在多种连接。控制算法当前基于经典的控制概念,并具有大量的专家规则。在模拟和实际驾驶条件下设计和测试这些专家规则是成功开发自动气候控制系统(时间,成本和质量)的关键因素。本文介绍了在用于自动气候控制系统的快速控制原型(RCP)系统的设计过程中获得的经验。讨论了基于模型的控制系统规范的优缺点。显示了绕过CAN的概念。提出了对将来应用的标准工具进行改进的建议。此外,还讨论了实时工厂模型(RTL)对于硬件在环应用,基于模型的控制概念和在线诊断工具的重要性。提出了从更详细但非实时的软件模型派生RTL模型的概念。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号