UC知道帮忙翻译一段机械方面的英文
来源：百度知道 编辑：UC知道 时间：2024/05/11 13:57:42
In this paper, a slider–crank mechanism system actuated by a
field-oriented-controlled PM synchronous servo motor drive [6]
is described. To control the coupling mechanical system with robust
characteristics, a sliding-mode controller [18] is designed
to control the position of the slider of the coupled mechanism.
Moreover, to relax the requirement for the bound of uncertainties,
an online-trained FNN is adopted to estimate the bound of
uncertainties real time in order to make the sliding mode occur.
The inputs of the FNN are the switching surface and its derivative,
and the output of the FNN is the estimated bound of uncertainties.
If the uncertainties are absent, once the switching surface
is reached initially, a very small positive estimated value
of bound of uncertainties would be sufficient to keep the trajectory
on the switching surface, and the amplitude of chattering
is small. However, when the uncertainties
field-oriented-controlled PM synchronous servo motor drive [6]
is described. To control the coupling mechanical system with robust
characteristics, a sliding-mode controller [18] is designed
to control the position of the slider of the coupled mechanism.
Moreover, to relax the requirement for the bound of uncertainties,
an online-trained FNN is adopted to estimate the bound of
uncertainties real time in order to make the sliding mode occur.
The inputs of the FNN are the switching surface and its derivative,
and the output of the FNN is the estimated bound of uncertainties.
If the uncertainties are absent, once the switching surface
is reached initially, a very small positive estimated value
of bound of uncertainties would be sufficient to keep the trajectory
on the switching surface, and the amplitude of chattering
is small. However, when the uncertainties
在这个文件中,有曲柄滑块驱动系统的磁场定向控制的永磁同步伺服电机驱动[6]形容. 控制耦合机械系统与强劲的特点, 滑模控制器[18]是为了控制位置滑块的耦合机制. 此外,放宽这项规定的约束不确定性, 在线训练神经网络,通过预算约束不确定实时为了使滑模奥委会 cur. 投入了fnn的切换面及其衍生物, 而输出的结果是fnn估计方向的不确定性. 如果不确定因素均缺席,一旦切换面达到最初 一个很小的正面价值估计为方向的不确定性,将足以使弹道的开关 从表面上看,和振幅抖动很小. 然而,当不确定因素存在, 偏离切换面将需要不断更新,价值估计制作了fnn掌舵 该系统轨迹很快放回切换面[12]. 虽然真正价值的方向不确定因素不能获得的fnn, 较为保守的控制增益成绩达到最低控制的努力,根据切换面及其衍生物. 此外,不同的学习速率的神经网络, 它是基于一定的收敛性分析采用离散型Lyapunov函数, 采用网上培训的fnn. 此外, 雅可比的电机机制制度,取而代之的是其标记功能〔19〕,以减轻沉重的计算所需的 标识符〔15〕,〔20〕为在线辨识.