A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller

Aggarwal, Varun; Mao, Meng; O’Reilly, Una-May

doi:10.1109/ahs.2006.12

Cited by 37 publications

(19 citation statements)

References 16 publications

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“…The PSO-based method allows for a "selftuning" PID controller, which is an integral part of miniature robotics based on multi-channel information pathways. In [1], Varun Aggarwal et al attempted to do the same thing, but based on a single channel (a plant model), and realized its implementation on a Field Programmable Analog Array (FPAA). Our system builds on this by utilizing individual analog components and allowing for multi-channel inputs, thereby a marked evolution of the Analog Self Tuning PID domain, and a big step towards the further miniaturization of robotics-related components.…”

Section: Methodsmentioning

confidence: 99%

“…LITERATURE REVIEW In this research, emphasis had been put on the previous work that has already been done in the field of self-tunable PID controller, so that advancement in terms of novelty can be made in area and power of the chip which will also accommodate the PWM driver of the motor. In [1], self tuning Analog PID controller design has been discussed along with the benefits of analog self tuning PID controller over the digital PID controller and provides the comparison with hand tuned solutions. However, in this work, the technique has been improved to give maximum tuning and bit precision.…”

mentioning

confidence: 99%

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

Bhandari

Chaudhuri

Roy

et al. 2017

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)

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Abstract-In this work, we explore the design of an integrated, low power single chip multi-channel ProportionalIntegral-Derivative (PID) controller for emerging miniature robotics, that includes N inputs and N corresponding outputs thereby resulting in N parallel channels in the control system. It includes analog front-end (AFE) and analog PID controllers for PID parameter tuning based on PSO algorithm. The AFE incorporates adaptive biasing to ensure low power. The PSO is optimized with respect to tuning precision, power and area. This makes it attractive for real-time tuning of multiple miniaturized robotic devices with a single PSO tuning algorithm block assigned for the task. For simulation and testing purposes, we take N as 3 with the channels being defined by their application-ends or plants, namely: dc motor, temperature sensor and gyroscope.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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

Bhandari

Chaudhuri

Roy

et al. 2017

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)

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“…Studies show that it is a fast, robust and easy to implement method able to find the global optima in continuous nonlinear optimization problems [12 -14]. In process control applications it was often used for the online and offline tuning of PID control loops where studies shown increased performance compared to other tuning methods [14]. Enhanced hybrid versions of this algorithm can be used for solving problems of increased complexity like the Probabilistic Travelling Salesman Problem (PTSP) [15].…”

Section: The Pso Algorithmmentioning

confidence: 99%

“…The possibility of creating distributed applications further strengthened our choice since it gives the process control engineer the freedom to use advanced, complex algorithms using controllers with lower resources. This can be done by executing the complex algorithms remotely and by adding communication interfaces that link the controller in the field to the remote execution server [14].…”

Section: Design Of the Pso Algorithm Based On Iec 61499 Function Blocksmentioning

confidence: 99%

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Web System for the Remote Control and Execution of an IEC 61499 Application

Rohat¹,

Popescu²

2014

SIC

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An important support in this direction came from the IEC 61499 standard [3]. It allows developing platform-independent, reusable and even self-configurable function blocks that give the possibility of exchanging information between interconnected controllers in a distributed network. Using the free FBDK tool for IEC 61499 application development and execution, this paper aims to further exploit the standard's benefits and develop a web-based system for the remote configuration and execution of a function block, with the results being sent to a specific device. This provides great flexibility and efficiency to the engineering process, as the distributed controller has access to greater computational power than its own resources. That way the system provides great accessibility and reliability in using a wide range of complex algorithms without the need of a controller upload and just by using an Ethernet communication link. Applications that are independent of the process time (like model learning, detecting optimal parameters, algorithm testing, plant risk analysis, image processing etc.) or the ones that don't have hard real-time constraints (like slow process control plants from the agriculture or biology domains, building management systems etc.) are the ones that can benefit most from the implementation based on such a remote execution system. IEC 61499 and FBDK Support in Implementing Remote WebControlled ApplicationsOne of the main paradigms behind the IEC 61499 standard refers to the development of truly distributed systems [6]. Abstract: Remote control and execution gives the possibility of designing applications where any controller can have access to high computational power and knowledge just by use of standard network interfaces. This work describes the structure and components of a system that allows a user to select an algorithm from a web library, configure the execution parameters and remotely control a plant application that is implemented based on the IEC 61499 standard. The system is based on open technologies like php, Java and IEC 61499 function blocks allowing the easy integration and interoperability of its components. The system was successfully tested and represents a novel approach in developing flexible, efficient and reliable applications.

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Bidirectional Neural Interface and Closed-Loop Control

Spiegel

2017

Brain-Machine Interface

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A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller

Cited by 37 publications

References 16 publications

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

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

Web System for the Remote Control and Execution of an IEC 61499 Application

Bidirectional Neural Interface and Closed-Loop Control

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