Title :
Design and optimization of multi-modal controller for double inverted pendulums
Author :
Hao-chin Chang ; Tung-kuan Liu ; Geng-jhih Guo ; Yu-cheng Chou
Author_Institution :
Nat. Kaohsiung First Univ. of Sci. & Technol., Kaohsiung, Taiwan
Abstract :
This paper presents a novel hybrid approach for the design and optimization of multi-modal controller for cart-type double inverted pendulums. The presented approach divides the motion of a cart-type double inverted pendulum into four phases, including the initial oscillation phase, swing-up phase, adjustment phase, and balance phase. In addition, the presented approach integrates PID controllers, LQRs, the Taguchi method, and a genetic algorithm to design a multimodal controller and optimize the parameters of the controller.
Keywords :
Taguchi methods; control system synthesis; genetic algorithms; linear quadratic control; nonlinear control systems; pendulums; three-term control; LQR; PID controllers; Taguchi method; adjustment phase; balance phase; cart-type double inverted pendulums; genetic algorithm; initial oscillation phase; multimodal controller design; swing-up phase; Adaptive systems; Control systems; Genetic algorithms; Nonlinear systems; Optimization; Oscillators; Robustness; LQR; PID controller; Taguchi method; double inverted pendulum; genetic algorithm;
Conference_Titel :
Fuzzy Theory and Its Applications (iFUZZY), 2014 International Conference on
Print_ISBN :
978-1-4799-4590-0
DOI :
10.1109/iFUZZY.2014.7091254