Intelligent modeling and control of automation
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-019/00
G02B-006/26
G02B-006/42
G02B-006/36
출원번호
UP-0576159
(2004-10-15)
등록번호
US-7526356
(2009-07-01)
국제출원번호
PCT/US04/033855
(2004-10-15)
§371/§102 date
20060626
(20060626)
국제공개번호
WO05/038539
(2005-04-28)
발명자
/ 주소
Guez, Allon
Kurzweg, Timothy P.
출원인 / 주소
Drexel University
대리인 / 주소
Knoble, Yoshida & Dunleavy LLC
인용정보
피인용 횟수 :
1인용 특허 :
26
초록▼
A system and method for advanced device specific knowledge based modeling as well as intelligent control to yield high performance, low cost automation for optoelectronic design, packaging and assembly. The control loop design is based on knowledge based model predictive control. A knowledge model,
A system and method for advanced device specific knowledge based modeling as well as intelligent control to yield high performance, low cost automation for optoelectronic design, packaging and assembly. The control loop design is based on knowledge based model predictive control. A knowledge model, specific to the assembled package's characteristics, is used to set the initial "feed-forward" conditions of an automation system. In addition to this feed-forward model for setting the initial set point, the controller is designed with feedback components, along with the inclusion of a built in sensor. This system and method increases the efficiency of the automation process and the number of assembly steps can be greatly reduced. A method for the design, assembly and packaging of optoelectronic devices is also described.
대표청구항▼
The invention claimed is: 1. A system for the automation of one or more of the design, assembly and packaging of optoelectronic devices comprising: (a) an automated manipulation device configured for the manipulation of an optoelectronic device component; (b) an optical power propagation model deri
The invention claimed is: 1. A system for the automation of one or more of the design, assembly and packaging of optoelectronic devices comprising: (a) an automated manipulation device configured for the manipulation of an optoelectronic device component; (b) an optical power propagation model derived using a formula and a set of one or more parameters for said optoelectronic device; wherein the formula is selected from one or more of a Rayleigh-Sommerfeld formulation, an angular spectrum solution to a Rayleigh-Sommerfeld formulation, a Ray formulation, a Gaussian formulation, a Fraunhofer Field Formulation, a Fresenel Field formulation, and vector solutions to Maxwell's equations; (c) a database for storing said optical power propagation model; (d) a measuring device for taking a measurement of one or more parameters of at least one component of said optoelectronic device; and (e) a controller for managing said automated manipulation device, said controller enabled to receive information from said database; wherein said controller comprises an initial set point device which utilizes said optical power propagation model to determine an initial set point for said automated manipulation device, and a servo-feedback loop which utilizes said measurement of one or more parameters of at least one component of said optoelectronic device to determine a manipulation of at least one component of said optoelectronic device. 2. A system according to claim 1, wherein said one or more parameters comprises one or more parameters selected from the group consisting of optical waveform characteristics and optical waveform features. 3. A system according to claim 1, wherein the formula is selected from the group consisting of a Rayleigh Sommerfeld formulation and an angular spectrum solution to a Rayleigh Sommerfeld formulation. 4. A system according to claim 1, further comprising a learning loop which makes adjustments to said optical power propagation model based on actual experience in one or more of the design, assembly, packaging, use and maintenance of said optoelectronic device. 5. A system according to claim 4, wherein said set of parameters comprises one or more parameters selected from the group consisting of optical waveform characteristics and optical waveform features. 6. A system according to claim 1, wherein the formula is selected from the group consisting of a Rayleigh Sommerfeld formulation and an angular spectrum solution to a Rayleigh Sommerfeld formulation. 7. A system as claimed in claim 1, wherein at least one said measurement is employed by said learning loop in the adjustment of said optical power propagation model. 8. An automated method for one or more of the assembly and packaging of optoelectronic devices comprising the steps of: (a) providing an automated manipulation device configured for the manipulation of an optoelectronic device component; (b) determining an initial set point for said automated manipulation device from an optical power propagation model; wherein the optical power propagation model is derived using a formula, wherein the formula is selected from one or more of a Rayleigh-Sommerfeld formulation, an angular spectrum solution to a Rayleigh-Sommerfeld formulation, a Ray formulation, a Gaussian formulation, a Fraunhofer Field Formulation, a Fresenel Field formulation, and vector solutions to Maxwell's equations; (c) positioning said automated manipulation device at said set point; (d) measuring at least one parameter of a component of the optoelectronic device; (e) adjusting the position of said automated manipulation device based on said measurement; and (f) repeating steps (d)-(e) until said optoelectronic device is assembled, packaged or assembled and packaged. 9. A method according to claim 8, wherein said at least one parameter comprises one or more parameters selected from the group consisting of optical waveform characteristics and optical waveform features. 10. A method according to claim 8, wherein the formula is selected from the group consisting of a Rayleigh Sommerfeld formulation and an angular spectrum solution to a Rayleigh Sommerfeld formulation. 11. A method according to claim 10, further comprising a learning loop which makes adjustments to said optical power propagation model based on actual experience in one or more of the design, assembly, packaging, use and maintenance of said optoelectronic device. 12. A method according to claim 11, wherein said set of parameters comprises one or more parameters selected from the group consisting of optical waveform characteristics and optical waveform features.
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