As an AI text-based model, I am unable to draw freehand drawings directly. However, I can describe the typical response of a control system in each phase you mentioned:
a) Motor Start-up Phase: At the beginning, when the motor is started, the output (e.g., motor speed or position) may gradually increase from zero towards the desired setpoint.
b) Reaching Setpoint: Once the motor starts running, it will strive to reach and maintain the setpoint. The output will gradually approach and stabilize at the desired setpoint value.
c) Disturbance Braking Motor: If a disturbance occurs that slows down or brakes the motor (e.g., external force applied), the output will deviate from the setpoint and decrease rapidly due to this interference.
d) Compensation of Perturbation: In response to the disturbance, the controller detects the deviation from the setpoint and applies corrective actions. It may increase input power or adjust control parameters to compensate for the perturbation. As a result, the output will gradually recover and return towards the setpoint value.
Please note that these descriptions are general representations and may vary depending on specific control system designs and parameters.
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![/data # iw --debug dev wlan0 connect -w "lucky-5g" auth open key 0:1234567890
Usage: iw [options] dev connect [-w] [] [] [auth open|shared] [key 0:abcde d:1:6162636465] [mfp:req/opt/no]
Join the network with ...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162239148267954.png)
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
