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Stability region patterns in dominant pole placement based PID controller design for SOPTD systems

Chemical engineering science 2025年 317卷

作者： Kaushik Halder Saptarshi Das School of Computing & Electrical Engineering Indian Institute of Technology Mandi Kamand Mandi Himachal Pradesh 175005 India Centre for Environmental Mathematics Faculty of Environment Science and Economy University of Exeter Penryn Campus Cornwall TR10 9FE United Kingdom Institute for Data Science and Artificial Intelligence University of Exeter North Park Road Exeter Devon EX4 4QE United Kingdom

This paper proposes a new analytical formulation to design dominant pole placement based proportional-integral-derivative (PID) controllers for handling second order retarded type delay differential equations (DDEs) or in the control systems community, commonly known as the second order plus time delay (SOPTD) systems. This proposed method does not need any finite term approximation like different orders of Pade approach to derive the quasi-polynomial characteristic equation for analytical stability analysis. Rather the proposed method uses a mapping by which the transcendental exponential delay term in the characteristic polynomial is transformed into finite number of discrete time poles by a suitable choice of the sampling time. Here, we explore a specific case, where the choice of sampling time makes the order of characteristic polynomial in the discrete time or z -domain being an odd number. The PID controllers are discretized by both Euler’s and Tustin’s method for a comparison between these two approaches. The corresponding PID controller gains are obtained using the dominant pole placement criterion. Effectiveness of the proposed methodology are demonstrated on several SOPTD test-bench plants with different lag to delay ratios and open loop damping levels, using credible numerical simulations. Here, the novel finding is that we obtain irregular, discontinuous, multi-modal stability regions for the odd number of dominant pole placement problem through optimization whereas similar previous works have reported continuous stability regions when attempted for even number of non-dominant pole placement problems.

关键词： Dominant pole placement PID controller SOPTD plant Pole-zero matching Euler’s and Tustin’s discretization Optimization-based control

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Design and Practical Implementation of Two-Port Network Analyzer for Microwave Measurement from 200 MHz to 2.7 GHz

Design and Practical Implementation of Two-Port Network Anal...

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IEEE International Conference on Circuits and Systems (ICCAS)

作者： Chamath Kalanaka Vithanawasam Yi Lung Then Hieng Tiong Su Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Kuching Malaysia

Network Analyzers are commonly utilized in measuring various radio frequency (RF) and microwave measurements. In many cases Vector Network Analyzers (VNA) are available and are better suited given their ability to measure the magnitude and phase results for a device under test (DUT). These devices are, however, bulky and expensive, therefore limiting the amount of people who can have access to one of them. Due to these drawbacks, a low-cost two-port network analyzer was designed for optimum operation at frequencies from 200 MHz to 2.7 GHz. Assembly of this device brought together the combined efforts of a SynthHD signal generator, 2 AD8302 RF /IF gain/phase detectors, couplers, and a Raspberry Pi 3 Model B, which was used to program a graphical user interface (GUI), capable of plotting S-parameter readings. A commonly used error calibration method was also used to eliminate common errors.

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Cylindrical algebraic decomposition with equational constraints

arXiv

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arXiv 2019年

作者： England, Matthew Bradford, Russell Davenport, James H. Faculty of Engineering Environment and Computing Coventry University United Kingdom Faculty of Science University of Bath United Kingdom

Cylindrical Algebraic Decomposition (CAD) has long been one of the most important algorithms within Symbolic Computation, as a tool to perform quantifier elimination in first order logic over the reals. More recently it is finding prominence in the Satisfiability Checking community as a tool to identify satisfying solutions of problems in nonlinear real arithmetic. The original algorithm produces decompositions according to the signs of polynomials, when what is usually required is a decomposition according to the truth of a formula containing those polynomials. One approach to achieve that coarser (but hopefully cheaper) decomposition is to reduce the polynomials identified in the CAD to reect a logical structure which reduces the solution space dimension: The presence of Equational Constraints (ECs). This paper may act as a tutorial for the use of CAD with ECs: we describe all necessary background and the current state of the art. In particular, we present recent work on how McCallum's theory of reduced projection may be leveraged to make further savings in the lifting phase: Both to the polynomials we lift with and the cells lifted over. We give a new complexity analysis to demonstrate that the double exponent in the worst case complexity bound for CAD reduces in line with the number of ECs. We show that the reduction can apply to both the number of polynomials produced and their *** Codes 68W30, 03C10 Copyright © 2019, The Authors. All rights reserved.

关键词： Polynomials

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Calibrated Analytical Model of Low Cost YL-69 Hygrometer Sensor for Determining Moisture Content of Fruit and Vegetable Waste

Calibrated Analytical Model of Low Cost YL-69 Hygrometer Sen...

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International UNIMAS STEM engineering Conference (EnCon)

作者： Jessie Rose Lai Jia Chi Then Yi Lung Chamath Kalanaka Vithanawasam Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Sarawak Malaysia

Moisture content (MC) is one of the influential parameters in food waste composting process. With the use of low aeration rate in achieving minimal loss of moisture, 60% moisture content is found to be the optimum indicator. There is a need to retain moisture of the composting process at this set point to achieve peak temperature while eliminating odour emission. A low cost YL-69 hygrometer sensor which has been verified for its applicability in measuring volumetric content of soil was used in this investigation. The sensor measured moisture content of food waste composting process continuously. With this, two models were developed, and standard soil gravimetric method showed a strong relationship of R2 is 0.962 with error 5.02 % (

关键词： Moisture Soil Mathematical model Standards Ovens Soil measurements

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Fog computing for Smart Grid Development and Implementation

Fog Computing for Smart Grid Development and Implementation

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IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)

作者： Dr Naveen Palanichamy Kiing Ing Wong Faculty of Computing and Informatics Multimedia University Cyberjaya Malaysia Faculty of Engineering and Science Curtin University Miri Malaysia

The Smart Grid (SG) is the emerging energy systems that are enticed by smart devices and entities to support its control and monitoring. The SGs” core challenge is how to efficiently utilize different types of smart front-end devices, such as smart meters and power assets, and process the huge volume of data from these devices. Cloud computing (CC) provides flexible services and resources to comply with SG application”s computational requirements. Although the CC model is considered efficient for SG, the Quality of Experience (QoE) requirements, such as energy consumption, latency, bandwidth and network cost, for SG services are not guaranteed. Fog computing (FC) reaches the edge of a network computing providing low latency, latency - sensitive analytics and location awareness to satisfy the critical SG application”s mission requirements. The aim of this work is to comprehend FC applicability to interplay with the cloud support, thus enabling to develop a new range of latency-free utilities in real time. In this paper, we provide an in-depth survey on various fog computing approaches for smart grid architecture. Also, the current state of research on the development of smart grids is presented in this survey.

关键词： Smart grids Cloud computing Edge computing Computer architecture Internet of Things Monitoring Smart meters

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Sumatra Traditional Food Image Classification Using Classical Machine Learning

Sumatra Traditional Food Image Classification Using Classica...

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International Conference on Informatics and Computational sciences (ICICoS)

作者： Puteri Khatya Fahira Ari Wibisono Hanif Arief Wisesa Zulia Putri Rahmadhani Petrus Mursanto Adi Nurhadiyatna Faculty of Computer Science Universitas Indonesia Depok Indonesia Faculty of Engineering and Computing University of Zagreb Zagreb Croatia

Indonesia is a country rich in culture. One of Indonesia's culturaldiversity is on traditional foods. Traditional food not only has a role in the cultural aspect, but also has an influence on biodiversity. Unfortunately, the current diet of people endangers the existence of traditional foods, which indirectly will also affect Indonesia's food security. Indonesia Local Food Database is one solution proposed to prevent this problem, where the database will play a role to monitor food systems in Indonesia. In this research, database development will focus on collecting data for Sumatra traditionalfood, and also building a model for image classification which will later become one of the main features of the database. Some features like color and texture are extracted from the image. These features are used for classification using 5 classical machine learning models. Evaluation results show performance that as good as deep learning approach.

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Deep learning for flood forecasting and monitoring in urban environments 18

Deep learning for flood forecasting and monitoring in urban ...

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18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019

作者： Karyotis, Charalampos Maniak, Tomasz Doctor, Faiyaz Iqbal, Rahat Palade, Vasile Tang, Raymond Interactive Coventry Ltd. Coventry United Kingdom School of Computer Science and Electronic Engineering University of Essex United Kingdom Faculty of Engineering Environment and Computing Coventry University United Kingdom Metrobinaya Sdn Bhd Bhd Kuala Lumpur Malaysia

ISBN: (纸本)9781728145495

This paper describes the core computational mechanisms used by an urban flood forecasting and monitoring platform developed as part of a UK Newton Fund project in Malaysia. FLUD-FLood monitoring and forecasting platform for Urban Deployment - is a novel system aiming to deliver an effective and low cost urban flood forecasting solution, which is able to accurately forecast flood risk at street level, and deliver optimized recommendations to the relevant authorities as well as an early warning alerts to members of the public. This platform is based on a hybrid Deep Learning and Fuzzy Logic based architecture. As demonstrated by the experimental results and the analysis presented in this paper, this architecture enables the proposed system to account for factors that are not included in other modern flood forecasting systems, and simultaneously process high volumes of data originating from diverse data sources, in order to deliver accurate predictions concerning urban flood events. © 2019 IEEE.

关键词： Fuzzy logic

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Flexural behaviour of BFRP reinforced beams with prestressed reinforcement 9

Flexural behaviour of BFRP reinforced beams with prestressed...

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9th International Conference on Fibre-Reinforced Polymer (FRP) Composites in Civil engineering, CICE 2018

作者： Mirshekari, M. Donchev, T. Petkova, D. Faculty of Science Engineering and Computing Kingston University London United Kingdom

Non-corrosive nature and high strength of fibre reinforced polymer (FRP) reinforcement makes it attractive for use in concrete applications. The main problem for using FRP reinforcement is the higher deformability especially in cases of glass and basalt FRP. One of possible approaches for reducing of the deformations is via prestressing of the reinforcement. This research is continuation of previous investigation and presents experimental results of six large scale concrete beams reinforced with different types of reinforcement. Five of the beams are reinforced with Basalt FRP (BFRP) 6mm diameter bars pretensioned with differing degree of pre-stressing and one beam is steel reinforced. The aim of the paper is to present the experimental results reflecting the behaviour of BFRP reinforced beams with different level of prestressing and to compare them with the deformability of steel reinforced beam. Test results showed that the prestressing of BFRP reinforced beams is resulting in reducing of their deformability. The ultimate deflection at mid-span for BFRP beam with 40% of prestressing have 88% lower than the steel reinforced beam at ultimate load for the steel reinforced sample. © 2019 9th International Conference on Fibre-Reinforced Polymer (FRP) Composites in Civil engineering, CICE 2018. All Rights Reserved.

关键词： Basalt

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Preserving safety, privacy and mobility of persons living with Dementia by recognising uncharacteristic out-door movement using Recurrent Neural Networks with low computing capacity 1

Preserving safety, privacy and mobility of persons living wi...

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1st Joint Workshop on AI in Health, AIH 2018

作者： Williams, Steve Ware, J Mark Müller, Berndt Faculty of Computing Engineering and Science University of South Wales United Kingdom

A large proportion of the population has become used to sharing private information on the internet with their friends. This information can leak throughout their social network and the extent that personal information propagates depends on the privacy policy of large corporations. In an era of artificial intelligence, data mining, and cloud computing, is it necessary to share personal information with unidentifiable people? Our research shows that deep learning is possible using relatively low capacity computing. The research demonstrates promising results in recognition of human geospatial activity, in prediction of movement, and assessment of contextual risk when applied to spatio-temporal positioning of human subjects. A private surveillance system is thought particularly suitable in the care of those who may, to some, be considered vulnerable. © CEUR-WS. All rights reserved.

关键词： Risk assessment

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Bebop 2 Quadrotor as a Platform for Research and Education in Robotics and Control engineering

Bebop 2 Quadrotor as a Platform for Research and Education i...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Wojciech Giernacki Piotr Kozierski Jacek Michalski Marek Retinger Rafal Madonski Pascual Campoy Institute of Robotics and Machine Intelligence Faculty of Control Robotics and Electrical Engineering of Poznan University of Technology Poznań Poland Institute of Computing Science (Faculty of Computing and Telecommunications) and with the Institute of Robotics and Machine Intelligence (Faculty of Control Robotics and Electrical Engineering) Poznan University of Technology Poznań Poland International Energy College Energy Electricity Research Center Jinan University Zhuhai China Computer Vision and Aerial Robotics (CVAR) Centre for Automation and Robotics Technical University of Madrid (UPM) Madrid Spain

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

In conducting research and teaching in fields related to unmanned aerial vehicles (UAVs), it is particularly important to select a universal, safe, open research platform and tools for rapid prototyping. Ready-to-use, low-cost micro-class UAVs such as Bebop 2 are successfully used in that regard. This article presents how to use the potential of this flying robot with Robot Operating System (ROS). The most important software solutions for the developed experimental testbed FlyBebop are characterized here. Their capabilities in research and education are exemplified using three distinct cases: 1) research results on the method of optimal, in-flight, iterative self-tuning of UAV position controller parameters (based only on current measurements), 2) the use of the reinforcement learning method in the autonomous landing of a single drone on a moving vehicle, 3) planning the movement of UAVs for autonomous video recording along the planned path in the arrangement: "cameraman drone" and "lighting technician drones".

关键词： Drones Robots Education Cameras Sensors Tools

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