Entropy 2013, 15(3), 943-959; doi:10.3390/e15030943
Article

Minimum-Information-Entropy-Based Control Performance Assessment

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China
* Author to whom correspondence should be addressed.
Received: 2 December 2012; in revised form: 21 January 2013 / Accepted: 22 February 2013 / Published: 27 February 2013
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Abstract: Generally, the controller design should be performed to narrow the shape of the probability density function of the tracking error. A small information entropy value corresponds to a narrow distribution function, which means that the uncertainty of the related random variable is small. In this paper, information entropy is introduced in the field of control performance assessment (CPA). For the unknown time delay case, the minimum information entropy (MIE) benchmark is presented, and a MIE-based performance index is defined. For the known time delay case, a tight upper bound of MIE is derived and adopted as a performance benchmark to assess the stochastic control performance. Based on these, the control performance assessment procedures are developed for both the steady and the transient processes. Simulation tests and an industrial case study of a main steam pressure system of a 1,000MW power unit are utilized to verify the effectiveness of the proposed procedures.
Keywords: MIE-based performance assessment; steady state performance assessment; transient performance assessment; main steam pressure system

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MDPI and ACS Style

Meng, Q.-W.; Fang, F.; Liu, J.-Z. Minimum-Information-Entropy-Based Control Performance Assessment. Entropy 2013, 15, 943-959.

AMA Style

Meng Q-W, Fang F, Liu J-Z. Minimum-Information-Entropy-Based Control Performance Assessment. Entropy. 2013; 15(3):943-959.

Chicago/Turabian Style

Meng, Qing-Wei; Fang, Fang; Liu, Ji-Zhen. 2013. "Minimum-Information-Entropy-Based Control Performance Assessment." Entropy 15, no. 3: 943-959.

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