Experimental design of PC-based servo system

Ngo, Ha Quang Thinh; Nguyễn, Thanh Phương; Le, Thanh-Tan; Huynh, Van Ngoc Son; Tran, Huu-Quoc

doi:10.1109/icsse.2017.8030973

Cited by 9 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 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. In [ 8 ], the authors use a Digital Signal Processor (DSP) to execute a Fuzzy Logic based self-tuned PID to overcome servo deficiencies such as nonlinearity, and the servo lag phenomena. DSP processors allow for complex and nonlinear math functions required for controlling servo systems, but rather fall in the category of computationally complex (heavy) devices.…”

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 the other fields, for example wood chips or mining, it is also required to maintain the industrial production and enhance the production line. In [1,2], researchers introduced a mathematical relationship of computing volume measuring by a laser scanning method during transport on conveyor. The scanner SICK LMS400 hanging above conveyor and industrial PC monitoring overall process are combined together.…”

Section: Introductionmentioning

confidence: 99%

Application of Computer-Aided to Improve Industrial Productivity in Cement Factories by using a Novel Design of Quantitative Conveyor

Tran¹,

Quang²

2019

IJACSA

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To deal with the industrial evolution 4.0, many cement enterprises must be enhanced the productive ability. In this paper, the novel design of quantitative conveyor is introduced to improve the industrial productivity. Firstly, the test hardware platform is setup based on customer's requirement. Then, the analysis and control of mechanical platform for quantitative conveyor is investigated. From the experimental results, the operation of conveyor is stable and precise to ensure the output products for cement factories.

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