Download Free PDF Modeling and Lyapunov-Designed based on Adaptive Gain Sliding Mode Control for Wind Turbines Kamel Kerrouche 2016, Journal of Power of Technologies In this paper, modeling and the Lyapunov-designed control approach are studied for the Wind Energy Conversion Systems (WECS). filexlib. Then, we propose a Lyapunov based robust control to suppress the effect of uncertainties. The control algorithm consists of a PD feedback component and a piecewise function component. Theoretical analysis is provided to demonstrate that the controller can guarantee the uniform boundedness and uniform ultimate boundedness of the system. In general the adaptive control system can roughly be divided into two categories: Direct and Indirect. MRAC and STC can be designed using both Direct and Indirect approaches Model reference Adaptive control (MRAC or MRAS) Classification of adaptive control scheme is based on model reference control (MRC). Property-based Lyapunov Design 5.1. Physically Motivated Lyapunov Design 5.2. Integral Lyapunov Function for Nonlinear Parameterizations 6. Design Flexibilities and Considerations Intensive research in adaptive control was first motivated by the design of autopilots for high performance aircraft in the early 1950s. Because their dynamics
Lyapunov-based Non-Linear Tracking Control of a 2-link Robotic Manipulator The objective of this project is to design, simulate, and compare the performance of three non- linear controllers to perform a tracking task for a 2-link robot manipulator system which is subject to uncertainties.
Initiated by Butchart and Shackcloth (1965), and forcefully articulated by Parks (1966), the Lyapunov-based adaptive design is one of the early applications of the celebrated (Strict) Positive Real Lemma. Research in adaptive control of MIMO linear systems continues to be active.
In [61], a control technique based on the event-triggered model-free adaptive iterative learning control is proposed for nonlinear systems. In [62], a regulation of the load frequency in the power system is examined based on the adaptive event-triggered scheme mixed with decentralized dynamic output feedback controller in the existence of
Adaptive control techniques-based on BFLs have been addressed for nonlinear strict-feedback with partial state constraints (Tee & Ge, 2011) and the full state constraints (Liu et al., 2014, Tang, 2014, Tee and Ge, 2012, Tee et al., 2009b). These techniques on state constraints can be only to control a class simple of nonlinear strict-feedback
For the purpose of this paper we mainly consider two classification of the adaptive control system: model reference adaptive system or control (MRAS or MRAC) and Self-tuning control system (STC). MRAC and STC can be designed using both Direct and Indirect approaches. Lyapunov stability theory is a method used to judge the stability of the system.
The main focus of this paper is to develop a Lyapunov based adaptive PD and PID controller based on MRAC technique for a highly unstable SLV systems. The proposed study is carried out by considering only rigid body dynamics of the SLV system. The contributions of this paper are summarized as follows: i)
This paper provides an overview of the basics and recent studies of Lyapunov-based nonlinear adaptive control, the aim of which is to improve or maintain the performance and stability of the closed-loop system by cancelling out the presumable uncertainties in the nonlinear system dynamics. : This paper provides an overview of the basics a