摘要:
A method and apparatus is disclosed for 'intelligent' control (410) of production processes such as machining, casting, heat treating and welding. The key enabler of such control is of an electro-optical (25, 95, 305, 405) or other suitable sensor type. The sensor is generally of non contact type, capable of rapidly and accurately acquiring data from parts and the tools used to produce the parts in a production 'in-process' environment. Systems are disclosed to control not only the instant operation, but those processes connected therewith, both upstream and downstream. Data bases are generated and knowledge bases are used. Application of the invention can improve quality and productivity, and allow the production of parts which have unusual or individual material characteristics (1000-1008).
摘要:
A method and apparatus is disclosed for 'intelligent' control (410) of production processes such as machining, casting, heat treating and welding. The key enabler of such control is of an electro-optical (25, 95, 305, 405) or other suitable sensor type. The sensor is generally of non contact type, capable of rapidly and accurately acquiring data from parts and the tools used to produce the parts in a production 'in-process' environment. Systems are disclosed to control not only the instant operation, but those processes connected therewith, both upstream and downstream. Data bases are generated and knowledge bases are used. Application of the invention can improve quality and productivity, and allow the production of parts which have unusual or individual material characteristics (1000-1008).
摘要:
A movement trajectory generating system of a dynamical system uses neural network units (1, 2, 3) including cascade connection of a first layer (11, 21, 31), a second layer (12, 22 32), a third layer (13, 23, 33) and a fourth layer (14, 24, 34), to learn vector field of differential equations indicating forward dynamics of a controlled object (4). Conditions concerning trajectories of a final point and a via-point of movement of the controlled object and locations of obstacles are given from a motor center (5). While smoothness of movement is ensured by couplings of electric synapses using errors with respect to those conditions as total energy, least dissipation of energy is attained, whereby trajectory formation and control input for realizing the trajectory are obtained simultaneously.
摘要:
An intelligent machining system employs a neural network for calculating machining conditions on the basis of attribute data of a workpiece and a grinding machine. The system comprises a reference machining condition calculating unit, a neural network which receives the attribute data and provides corrections, and a correcting unit for correcting the reference machining conditions by using the corrections. Corrections which cannot be determined by means of empirical expressions or theoretical expressions are determined appropriately by the neural network previously learned. The system determines corrections for the machining conditions on the basis of machining errors decided by a neural network. The system also detects time-series machining phenomena by sensors, processes the output detection signals of the sensors by a neural network to obtain machining circumstance data. The feed rate of the tool is controlled by a fuzzy inference on the basis of the machining circumstance data.
摘要:
A Knowledge-Engineering Protocol-Suite is presented that generally includes methods and systems, apparatus for search-space organizational validation, and appurtenances for use therewith. The protocol-suite (1/16) includes a search-space organizational validation method (10/1) for synergistically combining knowledge bases of disparate resolution data-sets, such as by actual or simulated integrating of lower resolution expert-experience based model-like templates to higher resolution empirical data-capture dense quantitative search-spaces. Furthermore, from alternative technological vantages, the suite relates to situations where this synergetic combining is beneficially accomplished, such as in control systems, command control systems, command control communications systems, computational apparatus associated with the aforesaid, and to quantitative modeling and measuring tools used therewith. The protocol-suite also includes facile algorithmic tools for use with the method and a process-modeling computer for use in a distributed asynchronous system of modeling computers (1/15).