Differential Search Algorithm-based approach for PID-type Fuzzy Controller tuning
نویسندگان
چکیده
In this paper, a new improved Differential Search Algorithm optimization approach is proposed and successfully applied to the design and tuning of a PID-type Fuzzy Logic Controller. The scaling factors tuning problem of the Fuzzy Logic Controller structure is formulated and systematically resolved, using the improved constrained Differential Search Algorithm-based method. A comparison, with the standard Genetic Algorithm Optimization and Particle Swarm Optimization meta-heuristics, is investigated in order to show the superiority and the effectiveness of the developed Differential Search Algorithm-based method. Simulation results, for an electrical DC drive benchmark, show the advantages of the proposed Differential Search Algorithm-tuned PID-type Fuzzy control structure in terms of performance and robustness. Keywords—Differential Search Algorithm; PID-type fuzzy control; scaling factors tuning; Particle Swarm Optimization; Genetic Algorithm; DC drive benchmark
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