A fuzzy logic based supervisory hierarchical control scheme for real time pressure control

2009 ◽  
Vol 6 (1) ◽  
pp. 88-96 ◽  
Author(s):  
N. Kanagaraj ◽  
P. Sivashanmugam ◽  
S. Paramasivam
2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
N. Kanagaraj ◽  
P. Sivashanmugam ◽  
S. Paramasivam

This paper presents the real-time implementation of a fuzzy coordinated classical PI control scheme for controlling the pressure in a pilot pressure tank system. The fuzzy system has been designed to track the variation parameters in a feedback loop and tune the classical controller to achieve a better control action for load disturbances and set point changes. The error and process inputs are chosen as the inputs of fuzzy system to tune the conventional PI controller according to the process condition. This online conventional controller tuning technique will reduce the human involvement in controller tuning and increase the operating range of the conventional controller. The proposed control algorithm is experimentally implemented for the real-time pressure control of a pilot air tank system and validated using a high-speed 32-bit ARM7 embedded microcontroller board (ATMEL AT91M55800A). To demonstrate the performance of the fuzzy coordinated PI control scheme, results are compared with a classical PI and PI-type fuzzy control method. It is observed that the proposed controller structure is able to quickly track the parameter variation and perform better in load disturbances and also for set point changes.


2021 ◽  
Vol 143 (7) ◽  
Author(s):  
Randall T. Fawcett ◽  
Abhishek Pandala ◽  
Jeeseop Kim ◽  
Kaveh Akbari Hamed

Abstract The primary goal of this paper is to develop a formal foundation to design nonlinear feedback control algorithms that intrinsically couple legged robots with bio-inspired tails for robust locomotion in the presence of external disturbances. We present a hierarchical control scheme in which a high-level and real-time path planner, based on an event-based model predictive control (MPC), computes the optimal motion of the center of mass (COM) and tail trajectories. The MPC framework is developed for an innovative reduced-order linear inverted pendulum (LIP) model that is augmented with the tail dynamics. At the lower level of the control scheme, a nonlinear controller is implemented through the use of quadratic programming (QP) and virtual constraints to force the full-order dynamical model to track the prescribed optimal trajectories of the COM and tail while maintaining feasible ground reaction forces at the leg ends. The potential of the analytical results is numerically verified on a full-order simulation model of a quadrupedal robot augmented with a tail with a total of 20 degrees-of-freedom. The numerical studies demonstrate that the proposed control scheme coupled with the tail dynamics can significantly reduce the effect of external disturbances during quadrupedal locomotion.


2016 ◽  
Vol 154 ◽  
pp. 71-79 ◽  
Author(s):  
Daniele Laucelli ◽  
Luigi Berardi ◽  
Rita Ugarelli ◽  
Antonietta Simone ◽  
Orazio Giustolisi

Author(s):  
Philip R. Page ◽  
Adnan M. Abu-Mahfouz ◽  
Olivier Piller ◽  
Matome L. Mothetha ◽  
Muhammad S. Osman

1996 ◽  
Vol 29 (7) ◽  
pp. 61-66
Author(s):  
R. Babuška ◽  
H.A.B. te Braake ◽  
A.J. Krijgsman ◽  
H.B. Verbruggen

2013 ◽  
Vol 27 (1) ◽  
pp. 215-225 ◽  
Author(s):  
Mohammad Reza Bazargan-Lari ◽  
Reza Kerachian ◽  
Hossein Afshar ◽  
Seyyed Nasser Bashi-Azghadi

2017 ◽  
Vol 26 (06) ◽  
pp. 1750099 ◽  
Author(s):  
Hamid Reza Baghaee ◽  
Mojtaba Mirsalim ◽  
Gevork B. Gharehpetian ◽  
Heidar Ali Talebi

In this paper, the proposed hierarchical control scheme adds new control loop to control the reactive power reference by a fuzzy logic controller to have the benefit of increasing the system stability margins and moreover, eigenvalue, robustness and time delay analysis of proposed control scheme are presented. The reported droop-based control methods of VSI-based microgrids including hierarchical droop-based control scheme are limited to primary and secondary control levels while the proposed control scheme is completely analyzed so that the three hierarchical control levels modeled for both grid-connected mode and islanded mode. This scheme maintains the stability of microgrids not only for the small-signal events, but also for large-signal disturbances such as three phase and single phase to ground faults, heavy motor starting, etc. However, power sharing to loads and network is sufficiently done. To demonstrate the effectiveness of the proposed hierarchical controller, simulation studies have been performed on a microgrid consisting of four units of distributed generation with local loads and in presence of main grid using MATLAB/SIMULINK software and validated using OPAL RT real-time digital simulator.


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