线性控制系统的稳态误差控制系统的稳态误差是控制系统精度(控制精度)的度量,通常称为稳态性能。在控制系统设计中,稳态误差是一项重要的技术指标。的英语翻译

线性控制系统的稳态误差控制系统的稳态误差是控制系统精度(控制精度)的度

线性控制系统的稳态误差
控制系统的稳态误差是控制系统精度(控制精度)的度量,通常称为稳态性能。在控制系统设计中,稳态误差是一项重要的技术指标。对于实际的控制系统,由于系统结构不同、输入动作类型和输入函数形式不同,控制系统的稳态输出在任何情况下都不能与输入相同或等效,也不可能在任何形式的扰动作用下都能准确地恢复到原平衡位置。此外,在控制系统中不可避免地存在摩擦,间隙,不灵敏区,零位输出等非线性因素,这些都会造成附加的稳态误差。可以说,控制系统的稳态误差是不可避免的,控制系统设计任务之一,是尽可能减小系统的稳态误差,或者使稳态误差小于某一个容许值。显然,只有当系统稳定时,研究稳态误差才有意义:对于不稳定的系统而言,根本不存在研究稳态误差的可能性
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Steady state error control system for a linear <br>steady-state error is a measure of the control system a control system accuracy (precision control), often referred to as the steady-state performance. In the control system design, steady-state error is an important technical indicators. For the actual control system, due to the different system configuration, different types of input actions and functions form input, steady-state output of the control system can not input the same or equivalent, in any case, can not be any disturbance in the form of can accurately restored to the original equilibrium position. Furthermore, nonlinear factors friction, backlash, dead band, zero output, inevitably in the control system, which will cause additional steady state error. It can be said, the steady state error control systems is inevitable, one of the control system design task is to minimize the steady-state error of the system, or to a steady-state error less than a certain allowable value. Obviously, only when the system is stable, steady-state error research makes sense: For the unstable system, study the possibility of static error does not exist
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结果 (英语) 2:[复制]
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Steady-state error of linear control system The steady-state error of the control system is a measure of the accuracy (control accuracy) of the control system, commonly referred to as the steady-state performance. In the design of the control system, the steady-state error is an important technical index. For the actual control system, because the system structure is different, the type of input action and the input function form are different, the steady-state output of the control system can not be the same or equivalent with the input under any circumstances, and it is not possible to accurately restore to the original equilibrium position with any kind of disturbance action. In addition, there are inevitably nonlinear factors such as friction, clearance, insensitive area, zero-bit output, which can cause additional steady-state errors in the control system. It can be said that the steady-state error of the control system is inevitable, and one of the tasks of the design of the control system is to minimize the steady-state error of the system, or to make the steady-state error be less than a certain tolerance. Obviously, it makes sense to study steady-state errors only when the system is stable: for unstable systems, there is no possibility of studying steady-state errors.
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结果 (英语) 3:[复制]
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Steady state error of linear control system<br>Steady-state error of control system is a measure of control system accuracy (control accuracy), which is usually called steady-state performance. In the design of control system, steady-state error is an important technical index. For the actual control system, the steady-state output of the control system can not be the same or equivalent to the input under any circumstances because of the different structure of the system, the type of input action and the form of input function, and it is impossible to restore the original equilibrium position accurately under any form of disturbance. In addition, friction, gap, insensitive region, zero output and other non-linear factors inevitably exist in the control system, which will cause additional steady-state errors. It can be said that the steady-state error of the control system is inevitable. One of the tasks of the control system design is to minimize the steady-state error of the system as much as possible, or to make the steady-state error less than a certain allowable value. Obviously, it is meaningful to study steady-state error only when the system is stable: for unstable systems, there is no possibility to study steady-state error at all.<br>
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