Nonlinear optimal on-line heat-dissipation control methodology in electronic devices |
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| Authors: | Horng-Yuan Jang Chung-Hsin Cheng |
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| Affiliation: | 1. Department of Computer Science and Information Engineering, Nan Kai University of Technology, Taiwan, ROC;2. Department of Power Vehicle and Systems Engineering, Chung Cheng Institute of Technology, National Defense University, Taiwan, ROC;1. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyongsan 712-749, Republic of Korea;2. Department of Mathematics, Sungkyunkwan University, Suwon-440 746, Republic of Korea;1. Department of Mechanical Engineering, Babol University of Technology, Babol, Iran;2. Department of Mechanical Engineering, Golestan University, Gorgan, Iran;1. School of Mechanical Engineering, Hanyang University, Seoul 133-791, Republic of Korea;2. 5-1, Agency of Defense Development, Deajeon 305-600, Republic of Korea |
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| Abstract: | The essential element in obtaining semiconductor electronic device enhanced reliability involves solving the heat-dissipating issue. Certain electronic components possess varying thermal properties and the strength of the heat generated by the semiconductor chip is unknown. Therefore, the heat dissipation control problem is both complicated and perplexing. This paper proposes a methodology, the LQG/IE tracking algorithm, to solve the nonlinear heat dissipation control problem. The IE method, which is a combination of an Extended Kalman filter and Recursive Least Squares Estimator, estimates (in real time) the unknown time-varying heat source generated by the semiconductor chip using temperature measurements of the package seal surface. The LQG tracking algorithm is adopted to analyze the feedback gain to control the heat dissipation. The simulation results reveal that an effective and optimal heat dissipation controller can be implemented for the cooling system using the LQG/IE tracking algorithm. |
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