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Two-wheeled wheelchair stabilization control using fuzzy logic controller based particle swarm optimization

机译:基于模糊逻辑控制器的粒子群算法的两轮轮椅稳定控制

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Designing a control strategy of two-wheeled wheelchair is a very challenging task due to the unstable and highly nonlinear system. In the paper the system is modeled by mimicking a double-link inverted pendulum concept and the mathematical equations is derived using Euler-Lagrange method. Then the state-space representation is applied to the Simulink block diagram in Matlab. The control parameter of the system is compared between trial-and-error method and Particle Swarm Optimization (PSO) algorithm. This strategy is to find the optimal value for the system to get better performance. The system will be simulated using Fuzzy Logic Control (FLC) and FLC-PSO using Matlab/Simulink environment. Simulation results show that the FLC-PSO is better than FLC in terms of overshoot and settling time.
机译:由于不稳定且高度非线性的系统,设计两轮轮椅的控制策略是一项非常具有挑战性的任务。在本文中,该系统通过模仿双链倒立摆概念进行建模,并使用Euler-Lagrange方法推导数学方程。然后将状态空间表示应用于Matlab中的Simulink框图。在试错法和粒子群优化算法之间比较了系统的控制参数。该策略是为系统找到最佳值以获得更好的性能。该系统将使用Matlab / Simulink环境中的模糊逻辑控制(FLC)和FLC-PSO进行仿真。仿真结果表明,在超调和建立时间方面,FLC-PSO优于FLC。

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