TY - GEN
T1 - Design of single neuron PID multi-variable controller based on evolving PSO
AU - Wang, Guanghui
AU - Chen, Jie
AU - Pan, Feng
PY - 2008
Y1 - 2008
N2 - Coupling multi-variable controller contains some problems of complex nonlinear control. Single neuron PID controller has a good capability of self-adapting, self-learning, nonlinear and robustness. This paper uses some single neuron PID controllers to design coupling multi-variable controller, accompanying a large amount of optimization problem of nonlinear multi-dimension complex function. To solve that problem, evolving PSO has been proposed in this paper. To ravel out particle swarm optimization's (PSO) problem of local minima, crossover and mutation operations have been added to it. Simulation experiments of two typical objects have been made, and demonstrate the effectiveness and superiority of the proposed algorithm. This designed controller has a good performance. Evolving PSO can solve the complex problem in this controller design effectively.
AB - Coupling multi-variable controller contains some problems of complex nonlinear control. Single neuron PID controller has a good capability of self-adapting, self-learning, nonlinear and robustness. This paper uses some single neuron PID controllers to design coupling multi-variable controller, accompanying a large amount of optimization problem of nonlinear multi-dimension complex function. To solve that problem, evolving PSO has been proposed in this paper. To ravel out particle swarm optimization's (PSO) problem of local minima, crossover and mutation operations have been added to it. Simulation experiments of two typical objects have been made, and demonstrate the effectiveness and superiority of the proposed algorithm. This designed controller has a good performance. Evolving PSO can solve the complex problem in this controller design effectively.
KW - Coupling multi-variable control
KW - PSO
KW - Single neuron PID
UR - https://www.scopus.com/pages/publications/52149121850
U2 - 10.1109/WCICA.2008.4594292
DO - 10.1109/WCICA.2008.4594292
M3 - Conference contribution
AN - SCOPUS:52149121850
SN - 9781424421145
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 8656
EP - 8660
BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08
Y2 - 25 June 2008 through 27 June 2008
ER -