基于支持向量机的电弧炉逆内模控制器

针对三相交流电弧炉电极调节系统的耦合问题,提出了基于支持向量机的逆内模解耦控制策略.根据广义电弧炉对象的Taylor近似模型直接推导逆控制律,消除三相之间的耦合,避免了在线辨识逆模型计算量过大的问题.另外,在内模结构中引入非线性补偿,当系统参数变化和受到外部干扰时,保证了系统的鲁棒性.系统的稳定性和鲁棒性通过Lyapunov方法进行了分析,最后的仿真与实验结果验证了控制器的有效性.

Support-vector-machine-based inverse internal model controller for electric arc furnace

To deal with the coupling in the electrical controller for a three-phase arc furnace, we present a supportvector-machine approximation-based internal-model control strategy. From the Taylor-approximation model of a general electric arc furnace, we directly derive the inverse control law for eliminating the coupling in the electrical controller for the three-phase arc furnace. This avoids a large amount work in computation required in the online identification of the inverse model. In addition, a nonlinear compensation is introduced to the internal-mode configuration to ensure the system robustness in case of parameter variation and external disturbances. The stability and robustness are established by using the Lyapunov method. The proposed nonlinear controller is verified by computer simulations.