A hoist application system is provided. The hoist application system includes a motor drive unit, which is receptive of a final duty command and which drives a motor in accordance with the final duty command, a closed-loop control unit configured to generate a closed-loop duty command, an open-loop control unit configured to generate an open-loop duty command and a switch logic unit. The switch logic unit is receptive of direct current (DC) system information, the closed-loop duty command and the open-loop duty command, and is configured to generate the final duty command from one of the closed-loop duty command and the open-loop duty command based on the DC system information.

A finite time speed control method for a permanent magnet synchronous motor (PMSM) based on a fast integral terminal sliding mode and disturbance estimation comprises: firstly, determining a mathematical model of a speed loop of the PMSM under the influence of system parameters uncertainty and unknown load torque; secondly, designing an improved fast integral terminal sliding surface on the basis of the idea of terminal sliding mode control; then, proposing a disturbance estimation method based on an adaptive fuzzy system with respect to the disturbance in a PMSM system; designing a PMSM speed controller on this basis; and finally, completing the concrete implementation of the whole technical solution. The present invention designs the fast integral terminal sliding surface and a sliding mode control law to ensure that a motor speed tracking error converges to zero within finite time and enhances the rapidity of a PMSM speed regulating system.

A method of realizing single direction chaotic rotation speed of permanent magnet synchronous motor is provided powered by a three-phase full-bridge inverter.

The present invention is to adjust the relevant parameters at the variable load factor of the motor of the electric vehicle and the arbitrary rotational speed through the optimization algorithm and to operate with high efficiency over the whole range. In order to optimize the efficiency of the motor for the electric vehicle, the optimization control device 20 obtains the operating load factor in real time with the algorithm 9 for calculating the load factor, the rotation speed is obtained by detection 6, the power factor PF is acquired by the PF calculation 4, and the torque current component Iq and the magnetic field current component Id are acquired by the Id and Iq conversion algorithm 5, respectively. Then, the frequency (rotational speed) control amount Fq is calculated by the control 1, the control amount Idk of the magnetic field current by the fuzzy control 2, and the control amount PFk of the power factor by the PF control 3, respectively, each of which is input to the optimum voltage calculation algorithm 7 for calculating the optimum voltage control amount Ud. With the optimum voltage control amount Ud and the frequency (rotation speed) control amount Fq, the waveform of the SPWM generation 8 is adjusted, and the input power of the induction motor 17 is automatically adjusted to the minimum value and high efficiency by the power adjustment unit 12.

In a motor control device, a velocity feed-forward control portion includes a velocity-side acceleration input portion that outputs received high-order command acceleration as a velocity-side acceleration output; a velocity-side velocity input portion that outputs a received high-order command velocity as a velocity-side velocity output; velocity-side boundary-velocity input portions which are prepared so as to respectively correspond to boundary velocities, and to output velocity-side boundary velocity outputs from the velocity-side boundary-velocity input portions corresponding to the high-order command velocity, the boundary velocities being velocities at boundaries of preset adjacent velocity ranges obtained by dividing a limited velocity range; a velocity-side first weight learning portion that changes velocity-side first learning weights in accordance with a velocity deviation, the velocity-side first learning weights respectively corresponding to velocity-side first outputs; and a velocity-side output portion that outputs, as a second tentative command current, a value obtained by summing velocity-side first multiplication values.

In a motor control device, a velocity feed-forward control portion includes a velocity-side acceleration input portion that outputs received high-order command acceleration as a velocity-side acceleration output; a velocity-side velocity input portion that outputs a received high-order command velocity as a velocity-side velocity output; velocity-side boundary-velocity input portions which are prepared so as to respectively correspond to boundary velocities, and to output velocity-side boundary velocity outputs from the velocity-side boundary-velocity input portions corresponding to the high-order command velocity, the boundary velocities being velocities at boundaries of preset adjacent velocity ranges obtained by dividing a limited velocity range; a velocity-side first weight learning portion that changes velocity-side first learning weights in accordance with a velocity deviation, the velocity-side first learning weights respectively corresponding to velocity-side first outputs; and a velocity-side output portion that outputs, as a second tentative command current, a value obtained by summing velocity-side first multiplication values.

The present invention is to adjust the relevant parameters at the variable load factor of the motor of the electric vehicle and the arbitrary rotational speed through the optimization algorithm and to operate with high efficiency over the whole range. In order to optimize the efficiency of the motor for the electric vehicle, the optimization control device 20 obtains the operating load factor in real time with the algorithm 9 for calculating the load factor, the rotation speed is obtained by detection 6, the power factor PF is acquired by the PF calculation 4, and the torque current component Iq and the magnetic field current component Id are acquired by the Id and Iq conversion algorithm 5, respectively. Then, the frequency (rotational speed) control amount Fq is calculated by the control 1, the control amount Idk of the magnetic field current by the fuzzy control 2, and the control amount PFk of the power factor by the PF control 3, respectively, each of which is input to the optimum voltage calculation algorithm 7 for calculating the optimum voltage control amount Ud. With the optimum voltage control amount Ud and the frequency (rotation speed) control amount Fq, the waveform of the SPWM generation 8 is adjusted, and the input power of the induction motor 17 is automatically adjusted to the minimum value and high efficiency by the power adjustment unit 12.

A method and device of torque generation based on electromagnetic effect is provided. An electromagnetic torque whose direction is opposite to the motor driving direction is generated in a magnetic field when a motor-drive armature winding is adopted based on the electro-magnetic induction principle. Meanwhile, a reverse electromagnetic torque which is reverse to the armature winding with the same magnitude, is applied on a magnet set and is transmitted to an underactuated system so as to provide required torque for the underactuated system. Advantageously, the provided torque is in direct ratio to speed, difficulty in control is significantly reduced, two-stage electromagnetic variable speed can be achieved, the design of the system is simple and reliable with a concise and clear structure, and the device may be employed in a wide variety of applications.

A hoist application system is provided. The hoist application system includes a motor drive unit, which is receptive of a final duty command and which drives a motor in accordance with the final duty command, a closed-loop control unit configured to generate a closed-loop duty command, an open-loop control unit configured to generate an open-loop duty command and a switch logic unit. The switch logic unit is receptive of direct current (DC) system information, the closed-loop duty command and the open-loop duty command, and is configured to generate the final duty command from one of the closed-loop duty command and the open-loop duty command based on the DC system information.

A side-by-side seamlessly fitting group of slide plates includes a frame, a support rod is horizontally arranged on a top side of the frame, a plurality of support plates are rotatably connected to an outer side of the support rod, a permanent magnet linear synchronous motor is arranged on a top surface of each support plate, a linear slide rail is arranged on a top surface of the permanent magnet linear synchronous motor, a slider is slidably connected to an outer side of the linear slide rail, a mounting plate and a slide plate are arranged on a top surface of the slider in sequence, sides of two adjacent ones of the slide plates seamlessly fit to each other, and a bent end of the mounting plate extends to a side surface of the permanent magnet linear synchronous motor and is threadedly connected to a connecting plate.