Modified error decentralized control with observer backstepping

This paper addresses analysis and design issues in PID control for hydraulic turbine using the backstepping algorithm. The first step consists in using a one-order filter to weaken the under-shoot effect caused by the non-stable zero in model, and then, adding an integral action to the basic backstepping algorithm to obtain a zero static error, therefore an integrator is added to the plant model and is then slid back to the controller equation at the end of the design. The PID controller can be obtained by backstepping algorithm and comparison with conventional PID controller.This document explains and demonstrates how to prepare your camera-ready manuscript for Trans Tech Publications. The best is to read these instructions and follow the outline of this text. The text area for your manuscript must be 17 cm wide and 25 cm high (6.7 and 9.8 inches, resp.). Do not place any text outside this area. Use good quality, white paper of approximately 21 x 29 cm or 8 x 11 inches (please do not change the document setting from A4 to letter). Your manuscript will be reduced by approximately 20% by the publisher. Please keep this in mind when designing your figures and tables etc.

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“…Similarly , according to the backstepping algorithm,it is easy to obtain the step 2,step 3,step 4 and the controller [2].…”

Section: Controller Designmentioning

confidence: 99%

“…It is a new idea that obtain PID controller by backstepping [2]. Bacstepping is a recursive procedure for systematically selecting the control Lyapunov function (CLF) that allows the design of PID controller.…”

Section: Introductionmentioning

confidence: 99%

A New PID Control Method for Hydraulic Turbine Governor

Wang

Hong

2013

AMM

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“…For these reasons it is necessary to develop a fault tolerant control (FTC) capable of preserving system performance in the absence of operational conditions (El Batal et al, 2020; Yan et al, 2018). The backstepping control (BSC) is based on the rotor flow orientation technique (Benaskeur and Desbiens, 2002; Yang, 2019). It is able to retain almost all robustness properties (Nikdel et al, 2017; Wai and Chang, 2004).…”

Section: Introductionmentioning

confidence: 99%

The use of magnetostrictive intelligent sensors for fault tolerant control of induction motors with energy harvesting principle

Meddad

Eddiai

Chakhchaoui

et al. 2021

Transactions of the Institute of Measurement and Control

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Asynchronous machines are omnipresent in automated production systems, due to their robustness and ease of use. These electric motors, however, also concede faults (e.g. short-circuit between turns) leading to unplanned stoppages. Defects with their effects are reflected in the magnitudes of the motors, mainly in flux, current, speed and torque. Our research work in this article presents a contribution of a new approach to the fault tolerant control. This simple and efficient method based solely on the measurement of the electrical energy applied by the magnetostrictive material requires expert knowledge in the field of intelligent materials. In this work, our method is focused on an additive term in the backstepping control that is based on the error of the current during the appearance of the default and the energy recovered by magnetostrictive sensors and the adaptive gain of the Kalman filter. This method improves the performance of backstepping control to maintain the operation despite the appearance of defects. The target is to ensure a minimum performance level of the drive system that is malfunctioning. The obtained results have provided useful information on multiple electrical malfunctions and show the overall performance of this complementary methodology for the fault tolerant control.

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