2019
DOI: 10.1155/2019/7131380
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A Modelling and Control Approach for a Type of Mixed Logical Dynamical System Using in Chilled Water System of Refrigeration System

Abstract: The chilled water system of central air conditioning is a typical hybrid system. The dynamic adjustment of cooling capacity based on hybrid system can achieve accurate temperature control and real-time energy saving. Mixed logical dynamical (MLD) systems have advantage for solving constrained optimization problems of this type of case by numerical methods. This paper proposes a novel modified type of MLD system, which enhances the model applicability and improves the switching flexibility and control effect fo… Show more

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Cited by 4 publications
(3 citation statements)
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References 34 publications
(52 reference statements)
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“…The advanced MLD system [24] is showed as an inequality and contains n+1 subsystems, which composed of state variables, control variables, logical variables, auxiliary variables, novel defined switching points, constraint conditions, and switching law. The inequality is like Eq.…”
Section: The Advanced Mld Systemmentioning
confidence: 99%
“…The advanced MLD system [24] is showed as an inequality and contains n+1 subsystems, which composed of state variables, control variables, logical variables, auxiliary variables, novel defined switching points, constraint conditions, and switching law. The inequality is like Eq.…”
Section: The Advanced Mld Systemmentioning
confidence: 99%
“…Another class of approaches is based on the transformation of propositional logic expressions into linear inequalities of binary variables. The author in [11] has introduced MLD formalism, one of the most widely used models for the analysis and control synthesis designed for hybrid systems [12][13][14]. MLD formalism has the benefit of gathering all continuous dynamics, logic rules, and system constraints under a single representation to synthesize the conventional hybrid control methods.…”
Section: Introductionmentioning
confidence: 99%
“…The introducing of a quantitative index of battery degradation makes it much worse that the objective function is non-gradient, which fails the regular gradient descent algorithms [36] and the non-gradient optimisation is normally used to solve this kind of problem. Different methods of nonegradient optimisation can be found with different characteristics in the knowledge field in different kind of applications [37][38][39][40][41]. Liu et al provide an good example by developing a multi-objective optimization strategy to optimize to maximize the fundamental frequency as well as minimize the dynamic displacement simultaneously [42].…”
Section: Introductionmentioning
confidence: 99%