2026-09-19T10:13:32Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/268842021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131024
Jung-Hoon Chun.
Towell, Samuel Thurston, 1977-
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2005-09-06T20:39:06Z
2005-09-06T20:39:06Z
2000
2000
http://hdl.handle.net/1721.1/26884
47982246
Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.
Includes bibliographical references (leaf 32).
This thesis presents the results of a simulation study comparing the current integral control system with an adaptive control system for potential use in a Uniform Droplet Spray Process. First, an adaptive control algorithm was derived. Then, this algorithm and the existing integral control algorithm were coded for use in MATLAB simulations. The simulations were performed against each other over various sampling periods and noise classes to compare the performance of both droplet diameter mean and standard deviation. Results showed that for the target diameter of 760 [mu]m, the adaptive controller could produce droplets with the mean diameter of 759.9 [mu]m and a standard deviation of 0.0066 [mu]m, while the integral controller produced droplets having the mean diameter and standard deviation of 759.7 [mu]m and 0.0084 [mu]m, respectively. Over the sampling periods experimented with, the adaptive controller could produce droplets with the mean diameter of 759.9 [mu]m and a standard deviation of 0.0061 [mu]m, while the integral controller produced droplets having the mean diameter and standard deviation of 759.9 [mu]m and 0.0074 [mu]m, respectively.
by Samuel Thurston Towell.
S.B.
36 leaves
1323631 bytes
1325432 bytes
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en_US
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
Evaluation of an adaptive control algorithm for use in uniform droplet spray in droplet based manufacturing
Thesis
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<Abstract>This thesis presents the results of a simulation study comparing the current integral control system with an adaptive control system for potential use in a Uniform Droplet Spray Process. First, an adaptive control algorithm was derived. Then, this algorithm and the existing integral control algorithm were coded for use in MATLAB simulations. The simulations were performed against each other over various sampling periods and noise classes to compare the performance of both droplet diameter mean and standard deviation. Results showed that for the target diameter of 760 [mu]m, the adaptive controller could produce droplets with the mean diameter of 759.9 [mu]m and a standard deviation of 0.0066 [mu]m, while the integral controller produced droplets having the mean diameter and standard deviation of 759.7 [mu]m and 0.0084 [mu]m, respectively. Over the sampling periods experimented with, the adaptive controller could produce droplets with the mean diameter of 759.9 [mu]m and a standard deviation of 0.0061 [mu]m, while the integral controller produced droplets having the mean diameter and standard deviation of 759.9 [mu]m and 0.0074 [mu]m, respectively.</Abstract>
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