Low-cost optimal state feedback fuzzy control of nonlinear second-order servo systems

M. Radac, R. Precup, E. Petriu, P. Ianc, S. Preitl, C. Dragos
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引用次数: 5

Abstract

This paper discusses low-cost optimal Takagi-Sugeno state feedback fuzzy controllers for the position control of servo systems where the process is modeled by second-order linear dynamics with an integral component, and saturation and dead zone input static nonlinearity. The state feedback gain matrices in the rule consequents of the fuzzy controllers are obtained by the combination of the parallel distributed compensation and linear-quadratic regulator applied to each rule. An example concerning the position control of a DC servo system laboratory equipment is offered and experimental results are included.
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非线性二阶伺服系统低成本最优状态反馈模糊控制
本文讨论了伺服系统位置控制的低成本最优Takagi-Sugeno状态反馈模糊控制器,该控制器的过程采用带积分分量的二阶线性动力学建模,且输入静态非线性为饱和和死区。通过对每条规则进行并行分布补偿和线性二次型调节器的组合,得到模糊控制器规则结果中的状态反馈增益矩阵。给出了直流伺服系统实验室设备位置控制的实例,并给出了实验结果。
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