T-S Fuzzy Control of Magnetic Levitation Systems Using QEA
T-S Fuzzy Control of Magnetic Levitation Systems Using QEA
复制标题
使用 QEA 的磁悬浮系统 T-S 模糊控制
DOI：
10.1109/icicic.2009.346
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Yu
中科院分区：
文献类型：
--
作者：
Gwo;Yu
提出了磁悬浮系统T-S模糊控制器的设计方法。首先在平衡点处对磁悬浮系统进行线性化。然后推导了误差状态方程，并采用比例积分（PI）控制器消除稳态跟踪误差。磁悬浮系统的非线性动力学方程由T-S模糊模型表示。分别采用粒子群优化算法（PSO）和量子进化算法（QEA）求解最优增益。系统的稳定性是由线性矩阵不等式（LMI）的李雅普诺夫方法。计算机仿真验证了该设计的有效性。
This paper proposed the design of T-S fuzzy control for magnetic levitation systems. The maglev systems are linearized at the equilibrium point first. Then the error state equations are derived and the proportional integral (PI) controller is applied to eliminate the steady-state tracking error. The nonlinear dynamic equations of the magnetic levitation systems are represented by a T-S fuzzy model. The optimal gains are found by using particle swarm optimization (PSO) and quantum-inspired evolutionary algorithm (QEA) respectively. The stability of the system is guaranteed by linear matrix inequalities (LMI) from Lyapunov approach. Computer simulations demonstrate the effectiveness of this design.