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Hybrid intelligent machine systems: Design, modeling and control.

机译:混合智能机器系统:设计,建模和控制。

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摘要

To further improve performances of machine systems, mechatronics offers some opportunities. Traditionally, mechatronics deals with how to integrate mechanics and electronics without a systematic approach. This thesis generalizes the concept of mechatronics into a new concept called hybrid intelligent machine system. A hybrid intelligent machine system is a system where two or more elements combine to play at least one of the roles such as sensor, actuator, or control mechanism, and contribute to the system behaviour. The common feature with the hybrid intelligent machine system is thus the presence of two or more entities responsible for the system behaviour with each having its different strength complementary to the others. The hybrid intelligent machine system is further viewed from the system's structure, behaviour, function, and principle, which has led to the distinction of (1) the hybrid actuation system, (2) the hybrid motion system (mechanism), and (3) the hybrid control system.; This thesis describes a comprehensive study on three hybrid intelligent machine systems. In the case of the hybrid actuation system, the study has developed a control method for the "true" hybrid actuation configuration in which the constant velocity motor is not "mimicked" by the servomotor which is treated in literature. In the case of the hybrid motion system, the study has resulted in a novel mechanism structure based on the compliant mechanism which allows the micro- and macro-motions to be integrated within a common framework. It should be noted that the existing designs in literature all take a serial structure for micro- and macro-motions. In the case of hybrid control system, a novel family of control laws is developed, which is primarily based on the iterative learning of the previous driving torque (as a feedforward part) and various feedback control laws. This new family of control laws is rooted in the computer-torque-control (CTC) law with an off-line learned torque in replacement of an analytically formulated torque in the forward part of the CTC law. This thesis also presents the verification of these novel developments by both simulation and experiments. Simulation studies are presented for the hybrid actuation system and the hybrid motion system while experimental studies are carried out for the hybrid control system.
机译:为了进一步提高机器系统的性能,机电一体化提供了一些机会。传统上,机电一体化处理的是如何在没有系统方法的情况下集成机械和电子学。本文将机电一体化的概念概括为一个新概念,即混合智能机器系统。混合智能机器系统是这样的系统,其中两个或多个元素结合以扮演至少一个角色,例如传感器,致动器或控制机构,并有助于系统行为。因此,混合智能机器系统的共同特征是存在两个或多个负责系统行为的实体,每个实体具有彼此互补的不同强度。从系统的结构,性能,功能和原理上进一步研究了混合智能机器系统,从而导致了以下方面的区别:(1)混合驱动系统,(2)混合运动系统(机制)和(3)混合控制系统。本文描述了对三种混合智能机器系统的全面研究。在混合动力致动系统的情况下,研究已经开发出一种用于“真正的”混合动力致动配置的控制方法,在该方法中,等速电动机没有被伺服电动机“模仿”,这在文献中已有论述。对于混合运动系统,研究得出了一种基于顺应性机制的新型机制结构,该机制可将微观和宏观运动整合到一个通用框架中。应该注意的是,文献中现有的设计全部采用微观和宏观运动的串行结构。在混合控制系统的情况下,开发了一种新颖的控制定律系列,它主要基于对先前驱动扭矩(作为前馈部分)和各种反馈控制定律的迭代学习。这个新的控制法则系列扎根于计算机转矩控制(CTC)法则,它以离线学习的转矩代替了CTC法则前文中分析得出的转矩。本文还通过仿真和实验对这些新颖的发展进行了验证。对混合动力致动系统和混合动力运动系统进行了仿真研究,对混合动力控制系统进行了实验研究。

著录项

  • 作者

    Ouyang, Puren.;

  • 作者单位

    The University of Saskatchewan (Canada).;

  • 授予单位 The University of Saskatchewan (Canada).;
  • 学科 Engineering Mechanical.; Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 229 p.
  • 总页数 229
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;人工智能理论;
  • 关键词

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