Papers by Keyword: Drive Mode

Abstract: This paper describes a control strategy of drive modes switch for an independent eight in-wheel motor drive vehicle. There are three drive modes, and they are eight-wheel drive with ASR mode, eight-wheel drive mode and four-wheel drive mode. The control strategy is designed to improve the integrated performance of the vehicle, such as safety, dynamic performance and economic performance, but the previous research can only improve one of them. When the road adhesion coefficient is very small, the vehicle will drive in eight-wheel drive with ASR mode to ensure the vehicles safety, when the driver torque demand is very big, the vehicle will drive in eight-wheel mode to get better dynamic performance and when the driver torque demand is very small, the vehicle drive in four-wheel mode to get better economic performance. The vehicle switches among the three modes according to the driving condition. Simulations of the new control strategy were carried out on two different driving conditions. The results showed that an improvement in safety or economic performance was achieved with the control strategy.

Abstract: EVT transmission in Planetary Gear Hybrid Electric Vehicles makes it available that the engine works on the optimal curves; yet because of the speed limitation of motor MG1, the maximum output power of the engine is a function of vehicle speed. The maximum traction and regenerative braking power is also a function of vehicle speed. Based on this, the vehicle drive modes consist of EV mode, economy mode and power mode, and braking modes include the regenerative braking mode and electromechanical braking mode.

Abstract: One of the challenges in MEMS era is dynamical modeling and control. This paper presents the analysis and control of drive mode of an 80 mm-thick, 1.1 mm in diameter high aspect-ratio (20:1) ring vibratory MEMS gyro. At first dynamic model of MEMS is derived through energy and Lagrange equations. Then state space equation is derived. Natural frequencies were derived by ABAQUS software and through equations. Frequency analysis was applied to analyze system and making comparison between two applied approaches in deriving frequencies. At last modified PID control was designed based on previous section results. We extracted results in presence of white noise to examine stability of the proposed controller. Consequently drive mode shows acceptable behavior through the applied PID controller. The aim is accomplished, though more advanced control can be applied to reduce uncertainty and compensate the noise in feedback to around zero.

Abstract: Through the analysis of the flow characteristics of the high-speed solenoid valve, the conclusions that the PWM signal duty ratio is the main factor affecting the solenoid valve flow is obtained, a new available any PWM pulse signal and control circuit are proposed. Further, circuit schematic is simulated by means of SIMULINK tools in MATLAB environment and Verify its stability. A time-sharing drive circuit is design based on the PWM drive mode. The driver circuit have function which is high-current open, small current maintain. Open current and maintain current of Solenoid valve can be adjusted through this circuit. Therefore, the circuit can adapt to different parameters of the solenoid valve. A wide range of applications.

Abstract: This paper introduces the working principle of the micromacined gyroscope, and establishes the drive equation of it. By solving the differential Equation, the analytical solution and the amplitude-frequency characteristics of the driving mode are obtained. By the visual measurement based on high-speed photography and the post image processing, it measures the vibration of the drive mode of the micromachined gyroscope. And it puts forward a novel displacement detect algorithm that based on the image processing, and with Matlab it verifies the analytical solution and the amplitude-frequency characteristics of drive mode of the micromachined gyroscope. This helps the study on the vibration of the micromacined gyroscope, and provides a new way to measure MEMS.

Abstract: The stability and accuracy of the drive mode are important for the performance of vibrating MEMS gyroscope. At present, the PI-like controller is always used in the control of the drive mode of vibrating MEMS gyroscope. The PI-like control has good effect on rejecting the literal disturbance, but it can’t reject the time-dependent disturbance well. The disturbance for the MEMS gyroscope is so uncertain that the stability and accuracy of the PI-like control for the gyro are comparatively low. In this paper, an ADRC method for vibrating MEMS gyroscope drive is introduced, and it is proved that this method can rapidly and stably control the MEMS gyro drive mode by simulation and comparing with the PI-like method.