Abstract
A particle swarm optimization method with nonlinear time-varying evolution (PSO-NTVE) is employed in designing an optimal PID controller for asymptotic stabilization of a pendubot system. In the PSO-NTVE method, parameters are determined by using matrix experiments with an orthogonal array, in which a minimal number of experiments would have an effect that approximates the full factorial experiments. The PSO-NTVE method and other PSO methods are then applied to design an optimal PID controller in a pendubot system. Comparing the simulation results, the feasibility and the superiority of the PSO-NTVE method are verified.
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This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009
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Chen, PY., Wu, CJ., Fu, YY. et al. A PSO method with nonlinear time-varying evolution for optimal design of PID controllers in a pendubot system. Artif Life Robotics 14, 58–61 (2009). https://doi.org/10.1007/s10015-009-0628-7
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DOI: https://doi.org/10.1007/s10015-009-0628-7