摘要
针对无阀电液伺服操舵装置参数慢时变的非线性控制问题,提出了一种基于单神经元的自适应PID控制方案。该算法以即刻误差评估函数为控制目标,采用最小梯度下降法,推导出单神经元连接权值的自适应调整算法,并使用Matlab/Simulink进行了对比仿真,仿真结果表明:单神经元自适应PID控制算法在提高操舵装置的动态特性以及适应参数变化方面优于常规PID控制算法,对提高操舵装置控制品质具有指导意义。
Aiming at the nonlinear control problem of the slowly time-varying parameters, the single- neuron adaptive PID control project is proposed for the valveless electro-hydraulic servo steering gear. With the control objective of the minimization of the instant error assessment function, the adaptive adjustment algorithm of the linked weights is deduced by the method of minimum ladder descent. The comparative simulation is performed on the Matlab/Simulink platform and the simulation results de- monstrate that the single-neuron adaptive PID algorithm is superior to the traditional PID algorithm in the improvement of the dynamic performance and the adaptation of parameter variation, which is of great significance to the improvement of control quality of the valveless electro-hydraulic servo stee- ring gear.
出处
《海军工程大学学报》
CAS
北大核心
2015年第6期93-98,共6页
Journal of Naval University of Engineering
关键词
单神经元
自适应控制
操舵装置
无阀电液伺服
single-neuron
adaptive control
steering gear
valveless electro-hydraulic servo
