论文标题
基于PSO的修改PID滑动模式控制使用改进的非线性系统的触发法
Modified PSO based PID Sliding Mode Control using Improved Reaching Law for Nonlinear systems
论文作者
论文摘要
在本文中，一种新的基于模型的非线性控制技术，称为PID（比例综合衍生）类型的基于滑动表面的滑动模式控制是使用改进的到达定律设计的。为了提高具有未知参数的二阶非线性微分方程的性能，修改了粒子群智能优化（MPSO）用于优化参数。本文对滑动表面设计，提议的功率率指数达到法律，使用修改的粒子群优化的参数优化参数优化，并突出显示在滑动模式中添加积分术语的重要特征，例如稳健性和较高的收敛性，通过广泛的数学建模。使用Lyapunov稳定性方法得出壁板模式控制定律，其渐近稳定性被证明是数学上的，并且模拟显示其有效性。 MPSO PID型滑动模式控制将稳定高度非线性系统，将补偿干扰和不确定性，并减少跟踪误差。模拟和实验应用是在非线性系统上进行的，并进行了定量比较。
In this paper, a new model based nonlinear control technique, called PID (Proportional-Integral-Derivative) type sliding surface based sliding mode control is designed using improved reaching law. To improve the performance of the second order nonlinear differential equations with unknown parameters modified particle swarm intelligent optimization (MPSO) is used for the optimized parameters. This paper throws light on the sliding surface design, on the proposed power rate exponential reaching law, parameters optimization using modified particle swarm optimization and highlights the important features of adding an integral term in the sliding mode such as robustness and higher convergence, through extensive mathematical modeling. Siding mode control law is derived using Lyapunov stability approach and its asymptotic stability is proved mathematically and simulations showing its validity. MPSO PID-type Sliding mode control will stabilize the highly nonlinear systems, will compensate disturbances and uncertainty and reduces tracking errors. Simulations and experimental application is done on the non-linear systems and are presented to make a quantitative comparison.
