MODEL PREDICTIVE CONTROL (MPC) OF INJECTION MOLDING MACHINES

Award Information
Agency:
National Science Foundation
Branch
n/a
Amount:
$207,000.00
Award Year:
1988
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
2689
Agency Tracking Number:
2689
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
54 Cambridge Park Dr, Cambridge, MA, 02140
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Tudor Ionescu
Commercial Serv & Prod Div
(617) 661-6364
Business Contact:
() -
Research Institution:
n/a
Abstract
THE INJECTION MOLDING MACHINE CAN BE VIEWED AS A HIGHLY COUPLED NONLINEAR TIME VARYING SYSTEM. MODERN MULTIVARIABLECONTROL IN CONJUNCTION WITH NONLINEAR IDENTIFICATION METHODSARE APPLICABLE TO SUCH A SYSTEM, AND ARE FAR MORE ADVANCED THAN THE CONTROL METHODS USED TODAY BY THE INJECTION MOLDINGINDUSTRY. THE RESEARCH PROPOSED HERE IS TO APPLY MODEL PREDICTIVE CONTROL (MPC) TO THIS NONLINEAR BATCH PROCESS. THE EFFORT WILL INVOLVE (1) MODELING OF THE INJECTION MOLDING PROCESS USING A POWERFUL NONLINEAR TECHNIQUE CALLED THE GROUP METHOD OF DATA HANDLING, AND (2) APPLYING THE DETERMINED DYNAMICS MODEL TO THE CONTROL OF THE MACHINE. THE ULTIMATE OUTPUT FROM THIS EFFORT (PHASE I-II) IS TO DEVELOP OFF LINE NUMERICAL METHODS TO INFER MODEL CHARACTERISTICS AND TO DOWNLOAD THE MODEL DESCRIPTION TO REAL-TIME MICROPROCESSOR ALGORITHMS FOR CONTROL OF THE MOLDING MACHINES SUB-SYSTEMS. IT IS EXPECTED THAT THE APPLICATION OF ADVANCED CONTROL TECHNIQUES TO THE INJECTION MOLDING MACHINE CAN SIGNIFICANTLY REDUCE THE CYCLE TIME REQUIRED TO GENERATE QUALITY PARTS. FUTHERMORE, THE TECHNIQUES DEVELOPED WILL BE APPLICABLE TO OTHER BATCH MANUFACTURING PROCESSES.

* information listed above is at the time of submission.

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