自适应动态径向基函数网络死区补偿控制

死区非线性存在于许多实际系统中,这将影响控制系统的性能,甚至会造成系统不稳定.为了补偿动态系统中的死区非线性,提出一种基于自适应动态径向基函数网络 (DRBF)的死区补偿控制方法.先用自适应DRBF网络在线补偿未知死区产生的不良影响:对于补偿后的动态系统,设计一个与DRBF网络并联的线性控制器.通过Lyapunov方法证明闭环系统的稳定性.以液压系统为例进行仿真,仿真结果表明本文方法能有效地消除控制系统的稳态误差,减少计算量,而且控制信号没有频繁振荡.

Compensation control for dead-zone by adaptive dynamic radial basis function network

Dead-zone nonlinearity exists in many practical systems, which deteriorates the performance of control system and even causes the instability of the system. In order to compensate the dead-zone nonlinearity in the dynamic system, a dead-zone compensation control algorithm based on adaptive dynamic radial basis function network(DRBF) is presented for eliminating the undesirable effects caused by the unknown dead-zone. A linear controller paralleled with the DRBF network is designed for the compensated dynamic system. The closed-loop system stability is proved by Lyapunov method. The simulation research was performed in a hydraulic system. The results show that this proposed algorithm effectively eliminates the steady-state error, reduces the computation complexity, and makes the control signal less oscillatory.