单神经元PID的波浪补偿系统自适应控制与仿真

Adaptive Control and Simulation for Heave Compensation System Based on Single Neuron Cell PID

针对一种新型主动式波浪补偿系统的机、电、液非线性控制问题,以经典PID为基础,提出了一种利用单神经元结构加以实现的智能PID控制算法.基于二次型性能指标,推导出单神经元输入权值参数自调整算法,并采用积分分离的方法对其进行了改进.将控制算法应用到波浪补偿系统的控制中,在Matlab环境下进行仿真,仿真结果验证控制器有效,单神经元PID控制克服了传统PID控制的不足,有效地改善了控制性能.

Based on classical PID, an intelligent PID control calculation is developed using single neuron, for the non - linear control problem about mechanism, electricity and liquid, of a new initiative heave compensation system. The adaptation law for adjusting the weights of the single neuron is proposed, based on quadratic indices, and ameliorated by integral separating. It is indicated that the controller is effective, by putting the control calculation into the control of heave compensation system,and emulated in Matlab circumstance,the insufficiency of the classical PID is conquered by single neuron PID, the control capability is ameliorated effectively.