Affiliation:
1. Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235
Abstract
A methodology is proposed for the control of switching systems characterized by linear system dynamics with a time delay in the input channel. The method incorporates a state predictor that at each switching period determines the effect that the next control input will have on the future output of the system, and chooses the input that will take the system closest to the desired future state. The resulting control action is suboptimal, but is computationally tractable and shown to provide a bounded tracking error for stable plants. The proposed predictive control methodology is demonstrated on a hot gas pressurization system that tracks a desired pressure trajectory via an on/off solenoid valve.
Subject
Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering
Cited by
1 articles.
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1. Fault Tolerant Control Based on Adaptive LQG and Fuzzy Controllers;Intelligent Systems, Control and Automation: Science and Engineering;2012-08-01