Abstract: The present disclosure provides a self-learning collaborative control method for active steering and yaw moment for a motor vehicle, including a first step of constructing fundamental formulas which are stored in a vehicle ECU, and a second step of calculating an active steering angle ?C and a yaw moment Mc on line by the vehicle ECU according to following sub-steps during a driving process of the motor vehicle, and controlling a driving state of the motor vehicle according to ?C and Mc. The second step includes a first sub-step of collecting raw real-time parameter values, a second sub-step of performing calculation by the identifier and the control target reference model, a third sub-step of calculating ?C and Mc. The present disclosure can realize the self-learning collaborative control of active steering and yaw moment without requiring a system control model and correct a driver's steering operation.

Abstract: A fan control method is described. The method includes obtaining, after controlling a fan to enter a scene wind running mode, the sleep time of a particular user corresponding to the scene wind running mode, obtaining a gear control time sequence of the fan according to the sleep time of the particular user, and controlling the fan according to the gear control time sequence of the fan to adjust the wind speed of the fan. The method can provide gentler wind during sleep of particular users such as babies and pregnant women to prevent the users from catching a cold, and also can provide a quitter sleep environment for babies and pregnant women to improve their sleep quality.

Abstract: The present invention discloses a MEMS gravimeter comprising: a spring-mass system, a displacement sensing structure, a displacement detecting circuit, a cavity body and a level adjustment base; the spring-mass system is disposed inside the cavity body and includes: a negative-stiffness spring, a positive-stiffness spring, a proof mass and an outer frame; the proof mass is connected to the outer frame by the negative-stiffness spring and the positive-stiffness spring, the negative-stiffness spring and the positive-stiffness spring are symmetrically disposed with respect to the proof mass, and the outer frame is fixedly connected to the cavity body; the displacement sensing structure is located on a surface of the proof mass, and the displacement detecting circuit is configured to detect a displacement signal from the displacement sensing structure; the spring-mass system realizes reduction in resonant frequency by matching of the positive and negative stiffness springs; and change in gravitational acceleratio

Abstract: The present invention discloses a MEMS gravimeter comprising: a spring-mass system, a displacement sensing structure, a displacement detecting circuit, a cavity body and a level adjustment base; the spring-mass system is disposed inside the cavity body and includes: a negative-stiffness spring, a positive-stiffness spring, a proof mass and an outer frame; the proof mass is connected to the outer frame by the negative-stiffness spring and the positive-stiffness spring, the negative-stiffness spring and the positive-stiffness spring are symmetrically disposed with respect to the proof mass, and the outer frame is fixedly connected to the cavity body; the displacement sensing structure is located on a surface of the proof mass, and the displacement detecting circuit is configured to detect a displacement signal from the displacement sensing structure; the spring-mass system realizes reduction in resonant frequency by matching of the positive and negative stiffness springs; and change in gravitational acceleratio

Abstract: A fan, and a control system and method therefor, wherein the system comprises a wearable device (100) and a fan (200). The fan (200) communicates with the wearable device (100). The wearable device (100) is used for detecting body parameters of a user to determine whether the user falls asleep, generating a sleep wind mode instruction to the fan (200). The fan (200) enters a sleep wind mode after receiving the sleep wind mode instruction, obtains a sleep wind control curve, and adjusts operating parameters according to the sleep wind control curve. The fan control system can adjust the running gear of the fan according to the sleep wind control curve after the user falls asleep, and avoids interference factors, thereby improving the control precision of the fan and improving user experience.

Abstract: A fan, and a control system and method therefor, wherein the system comprises a wearable device (100) and a fan (200). The fan (200) communicates with the wearable device (100). The wearable device (100) is used for detecting body parameters of a user to determine whether the user falls asleep, generating a sleep wind mode instruction to the fan (200). The fan (200) enters a sleep wind mode after receiving the sleep wind mode instruction, obtains a sleep wind control curve, and adjusts operating parameters according to the sleep wind control curve. The fan control system can adjust the running gear of the fan according to the sleep wind control curve after the user falls asleep, and avoids interference factors, thereby improving the control precision of the fan and improving user experience.

Abstract: A fan control method is described. The method includes obtaining, after controlling a fan to enter a scene wind running mode, the sleep time of a particular user corresponding to the scene wind running mode, obtaining a gear control time sequence of the fan according to the sleep time of the particular user, and controlling the fan according to the gear control time sequence of the fan to adjust the wind speed of the fan. The method can provide gentler wind during sleep of particular users such as babies and pregnant women to prevent the users from catching a cold, and also can provide a quitter sleep environment for babies and pregnant women to improve their sleep quality.