ASIC implementation of fuzzy-PID controller for aircraft roll control

John, Subash; Rasheed, Abdul Imran; Reddy, Viswanath K.

doi:10.1109/ccube.2013.6718551

Cited by 11 publications

(8 citation statements)

References 11 publications

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“…To date, the work in this field [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ] is primarily divided into four categories. All are computationally intensive, and none offer a unified approach to complete motion control.…”

Section: Related Workmentioning

confidence: 99%

“…All are computationally intensive, and none offer a unified approach to complete motion control. The four categories are: Single Neuron [ 3 , 4 , 5 ]; Fuzzy Logic [ 6 , 7 , 8 , 9 , 10 , 11 ]; Self-Tuning [ 12 , 13 ]; Model Reference (based on the Laplace Transform) [ 13 ]. …”

Section: Related Workmentioning

confidence: 99%

“…The work presented credible results, but is tailored for the very specific application of hydraulics. The authors in [ 7 ] use a high-speed Application Specific Integrated Circuit (ASIC) to implement the Fuzzy Logic controlled tuning of the PID, strictly for aircraft roll control. The computational complexity and costume-logic requirements of this design for aircraft roll control calls for implementation in specialized hardware devices such as ASICs, which are not reprogrammable or reconfigurable.…”

Section: Related Workmentioning

confidence: 99%

“…This paper, however, aims to tackle this problem in more detail. The proposed algorithmic approach in this paper is the simplest and most dynamically adaptive technique for PID self-tuning, providing a complete motion control solution, unlike the prior related work [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ] and other algorithms [ 17 , 18 , 19 , 20 , 21 , 22 , 23 ], for generalized humanoid motion control.…”

Section: Related Workmentioning

confidence: 99%

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PID++: A Computationally Lightweight Humanoid Motion Control Algorithm

Arciuolo

Faezipour

2021

Sensors

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Currently robotic motion control algorithms are tedious at best to implement, are lacking in automatic situational adaptability, and tend to be static in nature. Humanoid (human-like) control is little more than a dream, for all, but the fastest computers. The main idea of the work presented in this paper is to define a radically new, simple, and computationally lightweight approach to humanoid motion control. A new Proportional-Integral-Derivative (PID) controller algorithm called PID++ is proposed in this work that uses minor adjustments with basic arithmetic, based on the real-time encoder position input, to achieve a stable, precise, controlled, dynamic, adaptive control system, for linear motion control, in any direction regardless of load. With no PID coefficients initially specified, the proposed PID++ algorithm dynamically adjusts and updates the PID coefficients Kp, Ki and Kd periodically. No database of values is required to be stored as only the current and previous values of the sensed position with an accurate time base are used in the computations and overwritten in each read interval, eliminating the need of deploying much memory for storing and using vectors or matrices. Complete in its implementation, and truly dynamic and adaptive by design, engineers will be able to use this algorithm in commercial, industrial, biomedical, and space applications alike. With characteristics that are unmistakably human, motion control can be feasibly implemented on even the smallest microcontrollers (MCU) using a single command and without the need of reprogramming or reconfiguration.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

PID++: A Computationally Lightweight Humanoid Motion Control Algorithm

Arciuolo

Faezipour

2021

Sensors

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“…In electric vehicles based on permanent magnet synchronous motor, in order to avoid mechanical vibrations and speed variations, the resulting torque must be as constant as possible [1].…”

Section: Introductionmentioning

confidence: 99%

High Performance Hybrid FOC-Fuzzy-PI Controller for PMSM Drives

Djelamda¹,

Bouchareb²,

Lebaroud³

2021

EJEE

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This work presents a field oriented control (FOC) strategy (Fuzzy Logic (FL)) associated with PI controller applied to the control system of an permanent magnet synchronous motor (PMSM) powered by an inverter dedicated to electric vehicles, the major challenge of our research work is a control law for a permanent magnet synchronous motor more efficient in terms of rejection of disturbances; stability and robustness with respect to parametric uncertainties, A comparison of the performance of the proposed FOC with the FOC with the fuzzy-PI will be presented. The overall development scheme is summarized and an example illustrates features of the control approach performed on a 0.5 kW PMSM drive. The torque and the speed will be judged and compared for the two orders offered. As results, the behavior of the FOC based on fuzzy-PI controller is more efficient compared to the conventional vector control.

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Fuzzy Logic Controller and PID Controller Design for Aircraft Pitch Control

Sayar

Ertunç

2018

EuCoMeS 2018

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ASIC implementation of fuzzy-PID controller for aircraft roll control

Cited by 11 publications

References 11 publications

PID++: A Computationally Lightweight Humanoid Motion Control Algorithm

PID++: A Computationally Lightweight Humanoid Motion Control Algorithm

High Performance Hybrid FOC-Fuzzy-PI Controller for PMSM Drives

Fuzzy Logic Controller and PID Controller Design for Aircraft Pitch Control

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