基于线性自适应QPSO整定的倒立摆模糊滑模控制

Fuzzy Sliding Mode Control of Double Inverted Pendulum Based on Linear Adaptive QPSO Tuning

针对直线二级倒立摆平衡控制问题,提出了一种基于线性自适应量子粒子群整定的倒立摆模糊滑模控制方法。根据直线二级倒立摆系统的耦合特性,对其进行了两次解耦,设计了模糊滑模平衡控制器,其中模糊滑模控制器的参数利用线性自适应量子粒子群算法进行优化确定。直线二级倒立摆平衡控制仿真结果表明,与传统的倒立摆滑模平衡控制方法相比,提出的方法可以有效地削弱"抖振",提高直线二级倒立摆平衡控制的精度和快速性。实物控制结果进一步验证了该控制方法的合理性和有效性。

To solve the problem of balancing control of linear double inverted pendulum, fuzzy sliding mode control method based on linear adaptive QPSO tuning is presented. According to the coupling property of the linear double inverted pendulum system, decoupling is applied twice and fuzzy sliding mode balancing controller is designed. The parameters of fuzzy sliding mode controller are determined by the linear adaptive quantum particle swarm optimization algorithm （LAQPSO）. Linear double inverted pendulum balancing control simulation results show that the proposed method can effectively reduce the chattering phenomenon existing in the traditional sliding mode controller and improve the accuracy and rapidity of balancing control of linear double inverted pendulum system. Physical experiment results show that the proposed method is reasonable and effective.