Abstract: Disclosed is a portable telescopic push-pull vibrating-shaking type Camellia oleifera fruit picking and beating machine. The machine includes a picking and beating head, a gear shifting mechanism, a power transmission and picking and beating rod, a direct current motor, a control system, a handheld grip, and a lithium battery. A battery supplies power to enable the direct current motor to rotate, the direct current motor drives a worm and worm wheel mechanism in the gear shifting mechanism to rotate through a power transmission rod, the worm and worm wheel mechanism drives the picking and beating head to achieve reciprocating push-pull motion, such that the picking and beating rod can pull a branch to generate push-pull and vibration to pick Camellia oleifera fruit down. The picking and beating head is provided with a force sensor capable of monitoring picking and beating strength at any time.

Abstract: A nonlinear resonance model-based active filtering crane steel rope resonance elimination control method, including: constructing a two-dimensional dynamic model of a bridge crane according to a Lagrange's equation; constructing a steel wire rope-motor nonlinear resonance model to detect a harmonic; and eliminating the harmonic by means of active filtering. The present disclosure makes in-depth study on positioning of a crane and intelligent control of an anti-swing and resonance elimination control system and uses active filtering to eliminate resonance between a heavy object and the steel wire rope, thereby reducing a swinging angle and achieving the rapid resonance elimination and anti-swing effect. The active filtering technology can quickly and effectively detect a resonance current so as to effectively suppress resonance between the heavy object and the steel wire rope, and further helps a controller quickly and accurately position a trolley to further improve anti-swing performance.

Abstract: A nonlinear resonance model-based active filtering crane steel rope resonance elimination control method, including: constructing a two-dimensional dynamic model of a bridge crane according to a Lagrange's equation; constructing a steel wire rope-motor nonlinear resonance model to detect a harmonic; and eliminating the harmonic by means of active filtering. The present disclosure makes in-depth study on positioning of a crane and intelligent control of an anti-swing and resonance elimination control system and uses active filtering to eliminate resonance between a heavy object and the steel wire rope, thereby reducing a swinging angle and achieving the rapid resonance elimination and anti-swing effect. The active filtering technology can quickly and effectively detect a resonance current so as to effectively suppress resonance between the heavy object and the steel wire rope, and further helps a controller quickly and accurately position a trolley to further improve anti-swing performance.

Abstract: Methods and apparatus for implementing a circuit design are provided. A physical description is generated corresponding to a predefined physical layout of a programmable integrated circuit. The circuit design includes a memory block. A timing analysis is executed to determine a first timing profile of the physical description. The physical description is optimized (or at least altered), and a physical implementation is generated based on the optimized physical description. Optimizing the physical description includes: selectively moving from or into the memory block of the physical description a register in response to an attribute of the memory block; executing a timing analysis to determine a second timing profile of the physical description with the register moved from or into the memory block of the physical description; comparing the first and second timing profiles; and selectively accepting or reversing the moving based on the comparison of the first and second timing profiles.