한국마린엔지니어링학회:학술대회논문집 (Proceedings of the Korean Society of Marine Engineers Conference)
- 한국마린엔지니어링학회 2001년도 춘계학술대회 논문집
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- Pages.243-248
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- 2001
진화 신경회로망 제어기를 이용한 도립진자 시스템의 안정화 제어에 관한 연구
A Study on Stabilization Control of Inverted Pendulum System using Evolving Neural Network Controller
초록
The stabilization control of Inverted Pendulum(IP) system is difficult because of its nonlinearity and structural unstability. Thus, in this paper, an Evolving Neural Network Controller(ENNC) without Error Back Propagation(EBP) is presented. An ENNC is described simply by genetic representation using an encoding strategy for types and slope values of each active functions, biases, weights and so on. By an evolutionary programming which has three genetic operation; selection, crossover and mutation, the predetermine controller is optimally evolved by updating simultaneously the connection patterns and weights of the neural networks. The performances of the proposed ENNC(PENNC) are compared with the ones of conventional optimal controller and the conventional evolving neural network controller(CENNC) through the simulation and experimental results. And we showed that the finally optimized PENNC was very useful in the stabilization control of an IP system.
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