Patent abstracts

Assembly Automation

ISSN: 0144-5154

Article publication date: 28 September 2010



(2010), "Patent abstracts", Assembly Automation, Vol. 30 No. 4.



Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

Patent abstracts

Article Type: Patent abstracts From: Assembly Automation, Volume 30, Issue 4

Title: Power assist apparatus, and its control methodPatent number: CA2693835 (A1)Publication date: February 5, 2009Applicant: Toyota Motor Co Ltd (JP)±

AbstractProvided are a power assist apparatus and its control method, which realize improvements in positioning precision and in workability while reducing the burden of a work positioning operation on a worker by burdening a portion of the positioning work on the power assist apparatus and while making good use of the decision or experience (or institution or knack) by the worker when the worker positions the work by using the power assist apparatus. The power assist apparatus thus autonomously cooperating with the working action of the worker comprises a transfer tool including an articulated robot, a sucking jig and a free joint for gripping and transferring windows, and a control device for controlling the actions of the transfer tool. The control device divides and stores a series of working tasks into a plurality of working section, and sets control logics for the individual working sections and for the individual working directions, in which the power assist apparatus has degrees of freedom.

Title: Cooperating work control method and system for robot of multiple degree of freedomPatent number: CN101364110 (A)Publication date: February 11, 2009Applicant: Univ. Chongqing Posts & Telecom (CN)±

AbstractThe invention relates to an autonomous multi-robot collaboration control method which belongs to the automatic control field and aims to solve the problems that the multi-robot in the prior art cannot realize the collaboration control in a real sense, has low efficiency and is not adaptable to the complex task. Based on a wireless sensor network, a control center establishes a collaboration task allocation plan for each robot according to the state and the position of a task object to be executed and the capability and the location of the robots, thereby achieving the effect of cooperative control of the multi-robot. Therefore, the robot can operate collaboratively under the unified allocation of the control center using the wireless sensor only, without occupying other network resources. The autonomous multi-robot collaboration control method ensures the collaboration of the multiple robots in the real sense within a wide range.

Title: Method for constructing a decomposition data structure of multiple levels of detail design feature of 3D CAD model and streaming thereofPatent number: US2010088429 (A1)Publication date: April 8, 2010Inventor: Chu Chih-Hsing (TW); Wu Ping-Han (TW); Chan Yu-Hsuan (TW); Sung Mu-Chi (TW)

AbstractA method for streaming multi-LOD design feature of a 3D-CAD model comprises defining a LOD of a 3D-CAD model with each design feature of the 3D-CAD model, wherein the design feature is the smallest 3D-CAD model constructing unit; constructing the LOD of the 3D-CAD model into a decomposition data structure of LOD design feature recording each design feature of the 3D-CAD model in different LODs, wherein the LOD comprises all unit assembly faces of the design features; constructing a switch face display mechanism controlling whether each design feature of the 3D-CAD model is displayed; and encapsulating a designated design feature into a packet based on users’ configuration and transmitting the packet. The invention achieves multi-tier real-time incremental streaming transmission and implements streaming transmission into point-to-point information sharing for collaborative participants to receive information from others to obtain higher level information and share information to others for integrated information sharing efficiency.

Title: Chemical enterprise intelligent production plan control system based on quantum particle swarm algorithmPatent number: CN101604418 (A)Publication date: December 16, 2009Applicant: Univ. Zhejiang Technology (CN)

AbstractThe invention relates to a chemical enterprise intelligent production plan control system based on quantum particle swarm algorithm. The control system comprises a production plan optimization module, a workshop intelligent dispatching module, a basic information management module, a system management module and a database. According to the characteristics of the production plan problems of a multistage multi-product multi-restriction mixed production line in a chemical enterprise, a model adopts the following hypotheses: (1) no permission of out of stock; (2) infinite product stock capacity; (3) raw material arrival date occurring at the beginning of each period of time, and product delivery date occurring at the end of each period of time; (4) stable production state, namely outputting products as long as raw materials are input during each working procedure; (5) selling surplus products at the current period of time when products meeting the demands; moreover, setting an objective function and calculating product output; and finally, and adopting quantum particle swarm algorithm to carry out model solution. The chemical enterprise intelligent production plan control system effectively combines various constraint conditions in a chemical enterprise and has high efficiency; moreover, the control system realizes effective sharing of the prior enterprise coordination production workshop to increase resource and equipment utilization rate.

Title: System and method for multiple aircraft lifting a common payloadPatent number: US2009299551 (A1)Publication date: December 3, 2009Inventor: So Wilfred (CA); Eichel Justin (CA); Vu Linda (CA); Szabo Peter (CA)

AbstractA system and method are provided for controlling a plurality of aircraft to lift a common payload. The system comprises of multiple aircraft tethered to a common payload, where the group of said aircraft form a swarm that is controlled by a pilot station. Each said aircraft is autonomously stabilized and guided through a swarm avionics unit, which further comprises of sensor, communication, and processing hardware. At the said pilot station, a pilot remotely enters payload destinations, which is processed and communicated to each said aircraft. The method for controlling a multi-aircraft lifting system comprises of first inputting the desired location of the payload, and then determining a series of intermediary payload waypoints. Next, these payload waypoints are used by the swarm waypoint controller to generate individual waypoints for each aircraft; a flight controller for each aircraft moves the aircraft to these individual waypoints.

Title: Robot and method for controlling cooperative task of the samePatent number: KR20090118152 (A)Publication date: November 18, 2009Applicant: Samsung Electronics Co Ltd (KR)

AbstractDisclosed are a robot, which performs cooperative work with a plurality of robot manipulators through impedance control, and a method of controlling cooperative work of the robot. The method includes calculating absolute coordinate positions of end effectors, respectively, provided at a plurality of manipulators to perform the work; calculating a relative coordinate position from the absolute coordinate positions of the end effectors; calculating joint torques of the plurality of manipulators using the relative coordinate position; and controlling the cooperative work of the plurality of manipulators according to the joint torques.

Title: Power electronic circuit optimization method based on particle swarm algorithmPatent number: CN101446997 (A)Publication date: June 3, 2009Applicant: Univ. Sun Yat Sen (CN)

AbstractThe demand for automation design of power electronic circuits becomes higher and higher with the development of the power electronic technology. In the invention, a particle swarm algorithm is applied to the design and optimization of the power electronic circuits, and the invention mainly relates to the power electronics field and the intelligent computation field. In the optimization method, an optimization process is divided into two parts by a decoupling technology to, respectively, optimize the power transmission of the power electronic circuit and a feedback network. Meanwhile, a mutation operator is introduced into the particle swarm algorithm to increase diversity of the swarm and improve the optimization efficiency of the algorithm. The optimization design of a buck converter is taken as an example for testing, which proves that the optimization method is very effective.

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