By Ahmad Taher Azar
This publication describes the advances and functions in Sliding mode keep watch over (SMC) that is well-known as a robust way to take on doubtful nonlinear structures. The publication is prepared into 21 chapters that have been organised by way of the editors to mirror a few of the issues of sliding mode keep an eye on. The ebook presents the reader with a vast diversity of fabric from first ideas as much as the present state-of-the-art within the quarter of SMC and commentary awarded in a transparent, matter-of-fact sort. As such it's applicable for graduate scholars with a easy wisdom of classical keep an eye on thought and a few wisdom of state-space tools and nonlinear platforms. The ensuing layout systems are emphasised utilizing Matlab/Simulink software.
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Extra info for Advances and Applications in Sliding Mode Control systems
2013), constriction factor based particle swarm optimization was introduced for analyzing tuned reactive power dispatch. Short calculation time and more stable convergence are two important characteristics of the PSO technique (Eberhart and Shi 1998; Yoshida et al. 2000). Depending on the case study, PSO can show better performance than genetic algorithm optimization (Lin and Lin 2012). Appropriate performance of PSO in combination with genetic algorithm optimization has been reported in the literature as a hybrid optimization algorithm (Mousa et al.
This fact allows the design of a chattering avoidance control technique where this effect is decreased by the selection of an appropriate control law that makes the system stable and makes the controlled variables, such as positions and velocities, to reach the desired values in steady state. The second sliding mode approach shown in this chapter deals with the design of a proportional derivative plus sliding mode controller for the Furuta pendulum, where this combined control structure stabilizes the system due to the linear PD action and the nonlinear sliding mode control, decreasing the chattering effects on the system and making the sliding variables to reach the origin in finite time.
T. E. Serrano Fig. 20 Input torque 1 Fig. 21 Sliding variable 1 The error signals for φ and θ are shown in Figs. 23 and 24 respectively, where the PD + sliding mode controller makes the error signal to reach the zero value in an expected time, proving the efficiency of this controller to stabilizes mechanical systems of different kind. In this section a PD + sliding mode controller for the control and stabilization of the Furuta pendulum is explained, to prove their suitability in the control of this kind of underactuated mechanical system.
Advances and Applications in Sliding Mode Control systems by Ahmad Taher Azar