a new multiobjective performance criterion used in pid tuning optimization algorithms

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ID: 254104
2016
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Abstract
In PID controller design, an optimization algorithm is commonly employed to search for the optimal controller parameters. The optimization algorithm is based on a specific performance criterion which is defined by an objective or cost function. To this end, different objective functions have been proposed in the literature to optimize the response of the controlled system. These functions include numerous weighted time and frequency domain variables. However, for an optimum desired response it is difficult to select the appropriate objective function or identify the best weight values required to optimize the PID controller design. This paper presents a new time domain performance criterion based on the multiobjective Pareto front solutions. The proposed objective function is tested in the PID controller design for an automatic voltage regulator system (AVR) application using particle swarm optimization algorithm. Simulation results show that the proposed performance criterion can highly improve the PID tuning optimization in comparison with traditional objective functions.
Reference Key
sahib2016journala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Mouayad A. Sahib;Bestoun S. Ahmed
Journal reading & writing
Year 2016
DOI
10.1016/j.jare.2015.03.004
URL
http://www.sciencedirect.com/science/article/pii/S209012321500034X
Keywords
PID controller particle swarm optimization (pso)

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