Modern control theory (3rd ed.)
Modern control theory (3rd ed.)
Swarm intelligence
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Comparison between Genetic Algorithms and Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Multivariable Feedback Control: Analysis and Design
Multivariable Feedback Control: Analysis and Design
Multi-objective pole placement with evolutionary algorithms
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
The design of an active seismic control system for a building using the particle swarm optimization
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
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This paper presents automatic tools to optimize pole locations in state feedback control to satisfy performance specifications such as rise time, settling time, overshoot, and steady state error. Through the use of Particle Swarm Optimization (PSO), the advantages of such time-domain based controllers over frequency-domain controllers such as the Proportional-Integral-Derivative (PID) control is demonstrated, particularly for Multi-Input Multi-Output (MIMO) systems with a large number of states. A proof of concept problem involving the stabilization of a helicopter under the Rationalized Helicopter Model is presented and the results of the PSO auto-tuning, including the simultaneous design of a state observer and feedback controller, are supported by illustrative computer simulations.