Single chip self-tunable N-input N-output PID control system with integrated analog front-end for miniature robotics

Bhandari, Anindya Shankar; Chaudhuri, Arjun; Roy, Santanu; Negi, Shubham; Sharad, Mrigank

doi:10.1109/icnsc.2017.8000076

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…The ASIC design of a PI controller is discussed in [17]. Realization of a multiple PID controller using a low power single chip has been discussed in [18]. Conventionally, a closed-loop control system has a controller, final control element, and transmitter.…”

Section: Overview Of Closed-loop Control System With Plcmentioning

confidence: 99%

Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Dhanabalan¹,

Selvi²,

Mahdal

2022

Sensors

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A programmable logic controller (PLC) executes a ladder diagram (LD) using input and output modules. An LD also has PID controller function blocks. It contains as many PID function blocks as the number of process parameters to be controlled. Adding more process parameters slows down PLC scan time. Process parameters are measured as analog signals. The analog input module in the PLC converts these analog signals into digital signals and forwards them to the PID controller as inputs. In this research work, a field-programmable gate array (FPGA)-based multiple PID controller is proposed to retain PLC scan time at a lower value. Concurrent execution of multiple PID controllers was assured by assigning separate FPGA hardware resources for every PID controller. Digital input to the PID controller is routed by the novel idea of analog to digital conversion (ADC), performed using a digital to analog converter (DAC), comparator, and FPGA. ADC combined with dedicated PID controller logic in an FPGA for every closed-loop control system confirms concurrent execution of multiple PID controllers. The time required to execute two closed-loop controls was identified as 18.96000004 ms. This design can be used either with or without a PLC.

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Section: Overview Of Closed-loop Control System With Plcmentioning

confidence: 99%

Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Dhanabalan¹,

Selvi²,

Mahdal

2022

Sensors

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“…Bhandari, a. s. and Jamal, f. i. et al put forward A thermoelectric element design theory that the fabrication process is compatible with the integrated circuit process [2][3]. Two years later, Jamal, f. i proposed and successfully developed the world's first integrated temperature sensor chip [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Integrated Temperature Sensor Based on Low Power Single Chip

2019

IJOMAM

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To effective use of wind energy resources in low wind region, the "vertical axis-building block-pressure type" blade is developed. Firstly, a large rectangular frame is designed in order to form a slice of whole blades; Secondly, several small units which can turn freely around the shaft are installed on the whole blades; Finally, the two pieces of the overall blades are made of a pair of big blade and it is installed in the axis of wind turbine, which is symmetrical of left and right sides. While working, wind energy would press vertically a whole blade to get moving torque and drive the generator to power. To verify the design results, this article made a small physical device and tested under different wind speed. The results showed that the device started low wind speed performance was good and operation was stable and reliable.

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“…These controllers can be used to solve a problem when there is no knowledge of the process, when its objective is to obtain greater precision in the control of the system, and when related works in the literature can be observed [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of the Conventional Mathematical and Fuzzy Logic Controllers for Velocity Regulation

Valdez

Castillo

Caraveo

et al. 2019

Axioms

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Currently, we are in the digital era, where robotics, with the help of the Internet of Things (IoT), is exponentially advancing, and in the technology market we can find multiple devices for achieving these systems, such as the Raspberry Pi, Arduino, and so on. The use of these devices makes our work easier regarding processing information or controlling physical mechanisms, as some of these devices have microcontrollers or microprocessors. One of the main challenges in speed control applications is to make the decision to use a fuzzy logic control (FLC) system instead of a conventional controller system, such as a proportional integral (PI) or a proportional integral-derivative (PID). The main contribution of this paper is the design, integration, and comparative study of the use of these three types of controllers—FLC, PI, and PID—for the speed control of a robot built using the Lego Mindstorms EV3 kit. The root mean square error (RMSE) and the settling time were used as metrics to validate the performance of the speed control obtained with the controllers proposed in this paper.

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Single chip self-tunable N-input N-output PID control system with integrated analog front-end for miniature robotics

Cited by 9 publications

References 13 publications

Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Scan Time Reduction of PLCs by Dedicated Parallel-Execution Multiple PID Controllers Using an FPGA

Research on Integrated Temperature Sensor Based on Low Power Single Chip

Comparative Study of the Conventional Mathematical and Fuzzy Logic Controllers for Velocity Regulation

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