【摘要】 针对滑模量在滑模面切换以及速度非线性变化而致使的系统抖振问题，提出一种超旋转滑模模糊观测器。滑模观测器(SMO)存在的高频抖振会对电机控制系统产生很大的影响，导致电机产生转速波动和稳态误差。为了削弱SMO的抖振问题，首先对滑模动态变量的趋近速度动态变化导致的抖振问题，通过引入模糊逻辑理论使得系统状态量趋动速度智能化，设置模糊规则以达到智能动态化速度，以系统动态变量趋向切换面的距离与状态量动态趋向速度为规则因子，动态智能化趋向速度；其次对系统变换函数导致的系统抖振，进一步采用连续函数F(s)代替不连续的sgn(s)符号函数。该方案有效削弱了系统的抖振问题，相较于SMO控制提高了系统的稳定性。更多还原

【Abstract】 A super rotating sliding mode fuzzy observer was proposed to address the system chattering problem caused by the switching of sliding mode variables on the sliding mode surface and nonlinear changes in velocity. The high-frequency chattering in sliding mode observer(SMO) can have a significant impact on the motor control system, leading to speed fluctuations and steady-state errors in the motor. In order to weaken the chattering problem of SMO, aiming at the chattering problem caused by dynamic changes in the approaching velocity of sliding mode dynamic variables, by introducing fuzzy logic theory, the trend speed of system state variables was intelligentized. Fuzzy rules were set to achieve intelligent dynamic speed, with the distance between the system dynamic variables towards the switching surface and the dynamic trend speed of the state variables as the rule factors, and dynamic intelligent trend speed was achieved; Secondly, in response to the system chattering caused by the system switching function, a continuous function F(s) was further adopted to replace the discontinuous sgn(s) symbol function. This scheme effectively weakens the chattering problem of the system and improves the stability of the system compared with SMO control.更多还原