Tuning of PID controller based on a multiobjective genetic algorithm applied to a robotic manipulator

Expert Systems with Applications

Volumn 39, Issue 10, 2012, Pages 8968-8974

  Hultmann Ayala, Helon Vicente ^a   Dos Santos Coelho, Leandro ^b  

^a Institute of Technology for Development LACTEC   (Brazil)

^b PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

Control systems; Genetic algorithm; Multiobjective optimization; PID control; Robotic manipulator

Indexed keywords

CLASSICAL OPTIMIZATION; CLOSED LOOPS; DECISION MAKERS; INITIAL SOLUTION; MULTI OBJECTIVE; MULTI OBJECTIVE OPTIMIZATIONS (MOO); MULTI VARIABLES; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTI-OBJECTIVE PROBLEM; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; MULTIPLE OBJECTIVES; NON-DOMINATED SORTING GENETIC ALGORITHMS; NSGA-II; NUMERICAL RESULTS; OPTIMAL CONTROL THEORY; OPTIMAL SOLUTIONS; OPTIMIZATION AND DESIGN; OPTIMIZATION METHOD; OPTIMIZATION TECHNIQUES; PARETO DOMINANCE; PARETO OPTIMAL SOLUTIONS; PID CONTROLLERS; PROPORTIONAL INTEGRAL DERIVATIVES; REFERENCE-TRACKING; ROBOTIC MANIPULATOR; ROBOTIC MANIPULATORS; ROBUST SOLUTIONS; TRADEOFF SOLUTION; TWO-DEGREE-OF-FREEDOM;

CONTROL SYSTEMS; FLEXIBLE MANIPULATORS; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; NONLINEAR PROGRAMMING; OPTIMAL SYSTEMS; PARETO PRINCIPLE; THREE TERM CONTROL SYSTEMS;

PROBLEM SOLVING;

EID: 84859209840     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.02.027     Document Type: Article

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