Name
Title | ||
|---|---|---|
Method of inequalities-based multiobjective genetic algorithm for optimizing a cart-double-pendulum system |
Abstract | ||
|---|---|---|
This article presents a multiobjective approach to the design of the controller for the swing-up and handstand control of
a general cart-double-pendulum system (CDPS). The designed controller, which is based on the human-simulated intelligent control
(HSIC) method, builds up different control modes to monitor and control the CDPS during four kinetic phases consisting of
an initial oscillation phase, a swing-up phase, a posture adjustment phase, and a balance control phase. For the approach,
the original method of inequalities-based (MoI) multiobjective genetic algorithm (MMGA) is extended and applied to the case
study which uses a set of performance indices that includes the cart displacement over the rail boundary, the number of swings,
the settling time, the overshoot of the total energy, and the control effort. The simulation results show good responses of
the CDPS with the controllers obtained by the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11633-009-0029-3 | International Journal of Automation and Computing |
Keywords | DocType | Volume |
multiobjective control.,method of inequalities moi,genetic algorithms,human-simulated intelligent control hsic,human-simulated intelligent control (hsic),method of inequalities (moi),oscillations,genetic algorithm,performance indicator,kinetics,intelligent control | Journal | 6 |
Issue | ISSN | Citations |
1 | 17518520 | 4 |
PageRank | References | Authors |
0.43 | 10 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tung-Kuan Liu | 1 | 479 | 33.61 |
| Chiu-Hung Chen | 2 | 37 | 5.14 |
| Zu-shu Li | 3 | 4 | 0.77 |
| Jyh-Horng Chou | 4 | 746 | 63.28 |
| zushu | 5 | 4 | 0.43 |
| li | 6 | 4 | 0.43 |
| jyhhorng | 7 | 21 | 3.61 |
| jyhhorng | 8 | 21 | 3.61 |