Robust PV Fed Discrete Controller for Heating and Lighting Applications

2021 ◽  
pp. 697-704
Author(s):  
K. Viji ◽  
K. Chitra ◽  
K. Uma Maheswari
Keyword(s):  
Discrete Controller

Design and Implementation of Discrete Controller-Based Zeta Converter for Solar Power Applications

2021 ◽  
pp. 61-69
Author(s):  
R. Uthirasamy ◽  
V. Kumar Chinnaiyan ◽  
U. S. Ragupathy ◽  
S. Vishnu Kumar
Keyword(s):  
Solar Power ◽  
Design And Implementation ◽  
Discrete Controller

Discrete controller design for Gaussian- and waveform-type disturbances

1984 ◽  
Vol 7 (4) ◽  
pp. 483-489 ◽  
Author(s):  
Jerry T. Bosley ◽  
William C. Kelly
Keyword(s):  
Controller Design ◽  
Discrete Controller

Energetically-Optimal Discrete and Continuous Stabilization of the Rimless Wheel With Torso

2019 ◽  
Author(s):  
Wankun Sirichotiyakul ◽  
Aykut C. Satici ◽  
Eric S. Sanchez ◽  
Pranav A. Bhounsule
Keyword(s):  
Closed Loop ◽  
Estimation Method ◽  
Linear Quadratic Regulator ◽  
Region Of Attraction ◽  
Closed Loop System ◽  
Linear Quadratic ◽  
Walking Gait ◽  
Rimless Wheel ◽  
The Impact ◽  
Discrete Controller

Abstract In this work, we discuss the modeling, control, and implementation of a rimless wheel with torso. We derive and compare two control methodologies: a discrete-time controller (DT) that updates the controls once-per-step and a continuous-time controller (CT) that updates gains continuously. For the discrete controller, we use least-squares estimation method to approximate the Poincaré map on a certain section and use discrete-linear-quadratic-regulator (DQLR) to stabilize a (closed-form) linearization of this map. For the continuous controller, we introduce moving Poincaré sections and stabilize the transverse dynamics along these moving sections. For both controllers, we estimate the region of attraction of the closed-loop system using sum-of-squares methods. Analysis of the impact map yields a refinement of the controller that stabilizes a steady-state walking gait with minimal energy loss. We present both simulation and experimental results that support the validity of the proposed approaches. We find that the CT controller has a larger region of attraction and smoother stabilization as compared with the DT controller.

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