Single PI Research Articles

A New Adaptive Type-II Fuzzy-Based Deep Reinforcement Learning Control: Fuel Cell Air-Feed Sensors Control

This paper proposes a new adaptive controller for air-feed on proton exchange membrane fuel cell (PEMFC) plants. The oxygen excess ratio is first regulated by a single input interval type-2 fuzzy PI (SIT2-FPI) controller during the current variation of the PEMFC system. Then, a deep deterministic policy gradient (DDPG) algorithm is adopted to adaptively adjust the baseline PI coefficients of the SIT2 controller by taking the benefits of the online learning and model-free features of reinforcement learning. In the DDPG structure, an actor-network determines the policy signals, while a critic-network evaluates the quality of the policy provided by the actor. The suggested DDPG algorithm naturally takes into account the baseline PI coefficients into the design objective and offers the SIT2-FPI structure with online coefficient adjusting ability through learning. Based on reward feedback of the oxygen excess ratio error, the weights of the actor and critic networks are updated by the gradient descent technique. Detailed real-time model-in-the loop (MIL) simulation outcomes and comparative analysis are presented to confirm the adaptation capability of the DDPG-based online SIT2-FPI coefficient tuning strategy.

An Improved Current Control Strategy Based on Particle Swarm Optimization and Steady-State Error Correction for SAPF

Shunt active power filter (SAPF) is widely used for compensating harmonic current produced by nonlinear loads. As one of the critical technologies, the current control strategy has an important influence on the compensation precision and dynamic response performance. In this paper, the essential of the current-limiting demands for the comprehensive protection of SAPF are revealed, namely the limiting control objects: first, rms of the compensation current (mainly for the overheat protection of IGBTs and inductors), second, the instantaneous wave of compensating current (mainly for the accurate current control and IGBT I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">cnom</sub> specification), and third, the instantaneous wave of PWM-VSC modulation voltage (for the need of liner close-loop control). To avoid the over-current fault and over-modulation fault of SAPF, this paper proposes an improved current-limiting scheme based on particle swarm optimization (PSO) to achieve the two optimization targets: the minimization THD for the grid-side current, and the maximization utilization ratio for the capacity of SAPF. The main advantage lies on the optimum limiting ratios of each harmonic order calculated in real time, respectively, to achieve the flexible and liner limiting control. In addition, taking the control structure consisting of selective harmonic detection under the multiple rotating reference frame and the single PI current loop, for example, this paper gives the method for steady-state error correction qualitatively and quantitatively, which employs the method based on the frequency response characteristics analysis. Finally, simulation and experimental results verify the effectiveness of the proposed strategy.

Rancang Bangun Absensi Mahasiswa Berbasis Fingerprint Menggunakan Komunikasi Wireless

The teaching and learning process on campus is always supervised by paying attention to attendance. Some campuses use this attendance as a condition for taking the exam. However, the attendance system is still manual, which is by using a signature on the attendance sheet. This system has several weaknesses which include the occurrence of fraudulent attendance, difficulty in monitoring attendance, and data that cannot be presented quickly. The study proposes an attendance system using fingerprints connected to wireless networks that are already available on campus. Wireless networks are used as a medium of communication between attendance tools and database servers. The use of wireless networks aims to facilitate equipment used in classrooms during the lecture process. Attendance tool designed on a single Raspberry Pi computer board that is equipped with fingerprint sensors, power banks and LCD screens. While wireless LAN devices are integrated in the Raspberry Pi boar. The attendance system begins with an enroll process to save the lecturer and student fingerprint templates. Each template is given an ID to be stored on the database server using TCP wireless and protocol networks. The enroll process observations require an average time of 4 seconds which consists of: transmission time and time identification of fingerprint characteristics to the creation of fingerprint templates. The attendance process in lecture activities begins with the absence of lecturers and is followed by students. The average time needed to do attendance is 4 seconds. During the data attendance process can transmit between the attendance device (client) and server. Through a fingerprint-based attendance device based on the available wireless network infrastructure in the campus, it can improve the efficiency of attendance monitoring in real time.

PERANCANGAN SISTEM DETEKSI OBJEK PADA ROBOT KRSBI BERBASIS MINI PC RASPBERRY PI 3

KRSBI Wheeled is One of the competitions on the Indonesian Robot Contest,. It is a football match that plays 3 robot full autonomous versus other teams. The robot uses a drive in the form of wheels that are controlled in such a way, to be able to do the work the robot uses a camera sensor mounted on the front of the robot, while for movement in the paper author uses 3 omni wheel so the robot can move in all directions to make it easier towards the ball object. For the purposes of image processing and input and output processing the author uses a Single Board Computer Raspberry PI 3 are programmed using the Python programming language with OpenCV image processing library, to optimize the work of Single Board Computer(SBC) Raspberry PI 3 Mini PC assisted by the Microcontroller Arduino Mega 2560. Both devices are connected serially via the USB port. Raspberry PI will process the image data obtained webcam camera input. Next, If the ball object can be detected the object's position coordinates will be encoded in character and sent to the Microcontroller Arduino Mega 2560. Furthermore, Arduino mega 2560 will process data to drive the motors so that can move towards the position of the ball object. Based on the data from the maximum distance test results that can be read by the camera sensor to be able to detect a ball object is �5 meters with a maximum viewing angle of 120 �.

Development of a Hardware and Software System for Meteorological Observations

Article is devoted to development of a hardware and software system for monitoring of weather conditions. The hardware of this complex is the Arduino platform, which are connected sensors of temperature, humidity, atmospheric pressure, speed and direction of wind, level of ultra-violet radiation, which allow to watch environment parameters. Data are transferred to the remote server which is constructed on the basis of the single board computer Raspberry Pi, by means of a radio channel. For ensuring functioning of a complex, the software was written and it consisting of three programs. The first program was written to on Si similar language for operation of the Arduino controller. The second from programs was written for functioning of the server, it consists of MySQL DBMS, a script for data record in a basis and the PhpMyAdmin servers for administration of a DB. The third was written in the C# programming language and represents the application Windows forms. The made experiment showed that the complex allows to carry continuously meteorological observations, at the same time data remain in the database and the consumer software allows to carry their processing.

A comparative analysis of DFPI correctors and different techniques to regulate a shunt active power filter

Power quality is a subject of intense study over recent years, given that it affects the economic impact and costs of utilities, supply and manufacturing. Modern powered electronic equipment is usually nonlinear in nature and causes propagation of harmonic current. This disruptive current can be countered by various solutions, but active power filtering is the most captivating solution. In this paper, a Shunt Active Power Filter (SAPF) system is considered with a new corrector design for both the DC and AC sides. The new design is based on an association between double fuzzy logic and single PI correctors resulting in two 'DFPI' correctors devoted to regulating the DC voltage and the AC current of the SAPF. The DFPI corrector is more advantageous than the classic PI or fuzzy controllers implemented alone for regulation purposes of the SAPF control variables (DC voltage and the AC current). This is demonstrated, in this paper, through the addressed theoretical analysis of the proposed DFPI corrector and the studies shown in the simulation section comparing the proposed DFPI, single fuzzy, double fuzzy and PI controllers. Performances in terms of the filtering quality of the AC feeder side and the SAPF DC-bus voltage regulation quality (THDis%/THDVs%) are noted. The obtained numerical results prove the effectiveness of the DFPI corrector which also described a faster response time, a reduced overshoot and a lessened static error.

A comparative analysis of DFPI correctors and different techniques to regulate a shunt active power filter

Power quality is a subject of intense study over recent years, given that it affects the economic impact and costs of utilities, supply and manufacturing. Modern powered electronic equipment is usually nonlinear in nature and causes propagation of harmonic current. This disruptive current can be countered by various solutions, but active power filtering is the most captivating solution. In this paper, a Shunt Active Power Filter (SAPF) system is considered with a new corrector design for both the DC and AC sides. The new design is based on an association between double fuzzy logic and single PI correctors resulting in two 'DFPI' correctors devoted to regulating the DC voltage and the AC current of the SAPF. The DFPI corrector is more advantageous than the classic PI or fuzzy controllers implemented alone for regulation purposes of the SAPF control variables (DC voltage and the AC current). This is demonstrated, in this paper, through the addressed theoretical analysis of the proposed DFPI corrector and the studies shown in the simulation section comparing the proposed DFPI, single fuzzy, double fuzzy and PI controllers. Performances in terms of the filtering quality of the AC feeder side and the SAPF DC-bus voltage regulation quality (THDis%/THDVs%) are noted. The obtained numerical results prove the effectiveness of the DFPI corrector which also described a faster response time, a reduced overshoot and a lessened static error.

A Simplified PWM Technique for Isolated DC-DC Converter Fed Switched Capacitor Multi-Level Inverter for Distributed Generation

This paper presents a novel simplied PWM technique to drive switched capacitor type multi-level inverter fed from isolated type DC-DC converter for distributed generation. Distributed generation (DG) is renowned power generation at point of utility with no environmental aects and reduces transmission line losses. Photo-voltaic system is considered as renewable energy source for DG and the low voltage from PV system is boosted to required voltage using an isolated type single-input multi-output (SIMO) DC-DC converter. DC output from isolated SIMO DC-DC converter is fed to switched capacitor type multi-level inverter (SC-MLI) to feed the AC load. Isolated SIMO DC-DC converter apart from boosting the DG output voltage, also eliminates the problem of voltage unbalancing in SC-MLI topology. Closed loop operation of SIMO DC-DC converter employs only single PI controller instead of three controllers was presented in this paper. Modes of operation of SC-MLI and Novel PWM switching pattern was explained. Simulation of proposed system was developed using MATLAB/SIMULINK software. The prototype was developed for the proposed system and hardware results are also shown.

SSGM Based Multivariable Control of Unstable Non-Square Systems

AbstractDavison (1976) proposed a method to design controllers for multivariable systems using the knowledge of only the Steady-State Gain Matrix (SSGM) of the system. In the present work, Davison's method is suitably modified to design controllers for unstable non-square multivariable systems. A single-stage multivariable PI controller is designed using the SSGM. Simulation results show that the overshoots of the closed loop responses are larger, hence a two-stage P-PI control system is proposed. For the proposed two- stage design (i) the system is first stabilized by a simple proportional controller matrix designed based on SSGM using modified Davison's method (1976). (ii) Diagonal PI controllers are designed for this stabilized system based on gain matrix. Simulation studies are carried out to compare the closed loop performance of the single stage multivariable PI control system with that of the two-stage control system (inner loop centralized P controllers and outer loop diagonal PI controllers). A method to identify the steady state gain matrix of a non-square multivariable (SSGM) unstable system under closed loop control is presented. The effect of disturbances and measurement noise on the identification of SSGM is also discussed.

Antitumor effect of the combination of proteasome inhibitor (Pi) and histone deacytelase inhibitor (HDACi) in breast cancer (BC).

e23156 Background: Previous studies demonstrated the efficacy of HDACi and Pi as single agents in BC. The synergistic combination of HDACi and Pi has been shown to be effective in clinical studies in other tumor types, including multiple myeloma, non-small cell lung cancer, and pancreatic cancer. In this in vitro study, we explored the hypothesis that combination of these two agents may improve overall antitumor effect in BC. Methods: In the experiment, we used 3 BC cell lines: MCF7 (ER+), MDA-MB-231 (ER-), and BCSV (isolated from metastatic ER+ tumor which lost ER expression with disease progression). The cells were treated with carfilzomib (Pi) and scriptaid (HDACi) as single agents and in combination. Cell viability was determined using MTT assay, and combination indexes were determined using CalcuSyn software. Additionally, cells were cultured in 3D tumor spheroid model, and response to treatment was assessed on day 5, 10, 15 and 20. Results: In comparison with control, single agent HDACi, single agent Pi and combination HDACi/Pi increased cell viability by 6%, decreased cell viability by 60% and by 69% respectively (p &lt; 0.0001) in MCF7 cells; and decreased cell viability by 25%, 59% and 66% respectively (p = 0.0061) in BCSV cells. The combination indexes for most HDACi and Pi combinations were lower than 1.0, indicating synergistic effects in MCF-7 and BCSV cells but not in MDA-MB-231 cells. In 3D cultures, the combination of carfilzomib 1µM and scriptaid 10µM led to significant reduction of tumor spheroid size as compared to single agent. By day 20, BCSV tumor spheroid size increased by 258% in control group and by 50% in Pi, decreased by 17% in HDACi and by 30% in HDACi/Pi combination group (p &lt; 0.0001). Conclusions: Combination of HDACi and Pi exhibited synergistic activity in both MCF7 and BCSV monolayer cultures. Additionally, combination HDACi and Pi significantly decreased 3D tumor spheroid size as compared to either single agent alone. Further study is needed to evaluate the mechanisms of Pi/HDACi combination in estrogen-mediated BC tumorigenesis.

Robust maneuvering of autonomous underwater vehicle: an adaptive fuzzy PI sliding mode control

The control issues in nonlinear trajectory tracking of an autonomous underwater vehicle (AUV) are a challenging task due to the complex oceanic environment, highly nonlinear coupled dynamics, imprecise hydrodynamic coefficients and unpredictable external disturbances such as ocean waves, current fluctuations and tides. This paper addresses an adaptive fuzzy PI sliding mode control (AFPISMC) for trajectory tracking control of AUV to achieve high precise maneuvering in undersea environment. An AFPISMC is basically comprised of an equivalent control based on approximately known inverse dynamic model output and continuous adaptive PI term is designed to eliminate chattering effect. Furthermore, it does not require a priori knowledge of upper bounds on uncertainties in the dynamic parameters of an AUV. In this approach, decoupled single input fuzzy PI control strategy is employed along with a reduced rule base and self-tuning control law is derived to modify hitting gain in order to enhance tracking response. The overall control scheme guarantees the global asymptotic stability based on Lyapunov theory. Finally, the effectiveness and robustness of the proposed approach are demonstrated through simulation and comparison studies.

The MURAVES telescope front-end electronics and data acquisition

The MURAVES detector is a 4 m 2 muon tracker equipped with a low power consumption electronic and designed to work in volcanic areas. Due to the great amount of channels (~1500) the detector is equipped with a multilayer electronic for data acquisition. It consists of 12 slave boards and 1 master board per square meter of detector and a single Raspberry Pi board that rules the whole set of one-square-meter detectors. Because of this modularity, we can enlarge in principle the detector surface by adding more one-square-meter elements. In the present work, we resume the main features of the MURAVES detector designed for the muography of volcanoes and, more generally, for the imaging of the underground. We focus on the capability to fine tune every single channel of the detector and the precise measure of the time of flight of the muons. The latter uses a time expansion technique and it should allow us to make a background rejection never obtained until now.

The Proportional-Values Modulation (PVM), a technique for improving efficiency and power density of bidirectional DAB converters

This work introduces the Proportional-Values Modulation (PVM), an advanced technique for modulating DC–DC DAB converters. The relative advantages of this technique are: (i) Full elimination of reactive power throughout the bidirectional operating range of the DAB; (ii) reduction of the apparent power in the high-frequency transformer, HFT, while maintaining the harmonic distortion low, and (iii) the output capacitance is lower than the one obtained using Single-Phase-Shift Control (SPSC) and Dual-Phase-Shift Control (DPSC) methods, while the AC and DC current peaks are not incremented.This set of advantages increases the overall technical efficiency and power density flow of the converter. As additional characteristics of interest, the technique uses a single feedback PI loop and no complex control rules are implemented. Both features increase the computational efficiency of the PVM above other proposals.

Developing a controller for registering passenger flow of public transport for the "smart" city system

A structure of the controller for registering passenger flow of public transport was developed, which includes the single board computer Raspberry Pi; GSM module; GPS module; controller of battery powered device; controller of the emergency restart of the device; button for registering passengers enjoying privileges; camera for registering passengers enjoying privileges and camera for registering passenger flow in a transportation vehicle. A built structure is characterized by the modular organization, which makes it possible to quickly upgrade the designed device. An algorithm of functioning of the controller of registering passenger flow of public transport and specialized software for implementing the functions of the controller were developed. A special feature of the software is the possibility of expanding functionality of the designed device in the process of upgrading the controller. Programming of the microcontroller was perforned in the language C, and programming of the controller based on Raspberry Pi 2 Model B was performed in Python. We built a model of functioning of the controller based on the Petri networks, which allows exploring dynamics of the system and identifying all possible states of the designed system. Authors developed technical support of the controller for registering passenger flow of public transport on the base of the single board computer Raspberry Pi, which ensures competitive price and the required functionality of the project solution. The resulting technical solution in the form of the controller for registering passenger flow of public transport of the system for managing transport flows of a smart city is characterized by low cost, required accuracy of calculating passengers and is the optimal project solution with wide functional capacities. The designed device was implemented and tested at the auto transportation enterprises Mens-Auto and Etalon in Ternopil (Ukraine).

Parallel implementations of the 3D fast wavelet transform on a Raspberry Pi 2 cluster

Current low-cost general-purpose single-board computing (SDC) devices are gaining increasing interests in research computing due to their very low cost/performance ratio and energy consumption. Among all the SDCs available nowadays, Raspberry Pi devices constitute maybe the most renowned representatives. On the other hand, the wavelet transform plays an important role in contemporary standards for image compression (such as JPEG-2000) and video compression (MPEG-4). In this work, we present and evaluate three parallelization strategies of the 3D fast wavelet transform (3D-FWT) on a cluster of Raspberry Pi 2 SDCs. Each parallelization strategy has been implemented using both POSIX Threads (shared memory) and MPI (message passing). The set of implementations using POSIX Threads is restricted to runs on a single board, whereas multiple boards can be used for the MPI versions. We find out that noticeable speed-ups can be obtained when all MPI processes or POSIX Threads are run using the cores of a single Raspberry Pi 2 SDC. However, in the case of the MPI versions, we observe that performance drops drastically when all MPI processes spread to several boards. The reason for this is the limited bandwidth that the onboard LAN port can deliver, and that proves insufficient for the fine-grained, high-volume communication requirements of the studied parallelization strategies. Finally, we have also considered the execution of the POSIX Threads and MPI versions on a very high-performance but power-hungry 4-core Intel Xeon CPU E5606, obtaining that the Raspberry Pi 2 SDC can do the task with much lower total energy consumption (up to 4 times).

A Carrier Communication Channel Modeling Of Marine Electromagnetic Exploration System Based On Multi Conductor Transmission Line Theory

Subsea communication system is a key component of marine electromagnetic exploration system. In subsea communication system, only the power line channel model is fully studied, it could help to achieve high-speed and reliable power line carrier communication. In this paper, a channel model is established by using the theory of multi conductor transmission. The single Pi structure, double Pi structure and T structure cable model have been simulated through the Spice. The accuracy of single Pi structure model was verified by measurement and simulation. It provides a guiding role for the whole communication system.

Phaco-trabectome versus phaco-iStent in patients with open-angle glaucoma

ObjectiveTo investigate efficacy and safety of phaco-trabectome (PT) versus phaco-iStent (Pi) for intraocular pressure (IOP) control in open-angle glaucoma (OAG). DesignRetrospective comparative case series. ParticipantsA total of 70 eyes of 55 patients with OAG underwent either PT surgery by a single surgeon or Pi (insertion of 2 stents) by another surgeon in Canada between January 2010 and December 2012. MethodsThe medical records of consecutive adult patients who underwent either PT or Pi surgery were reviewed. All patients who satisfied both the inclusion and exclusion criteria were included in the outcomes analyses. IOP reduction, reduction in glaucoma medication, safety profile, and best-corrected visual acuity were evaluated. ResultsThirty-six eyes of 30 patients had PT and 34 eyes of 25 patients had Pi. Baseline IOP was higher in the PT group (20.92 ± 5.07 mm Hg) than in the Pi group (17.47 ± 4.87 mm Hg; p = 0.026). At 12 months there was no significant difference between groups in relative reduction of mean IOP (PT −5.09 ± 5.73, 24% relative reduction vs. Pi −3.84 ± 3.80, 22% relative reduction; p = 0.331) or glaucoma medication use (PT −0.49 ± 1.17 vs. Pi −0.26 ± 0.73; p = 0.168) from baseline. However, Pi had significantly fewer individual complications (PT 20 vs. Pi 5; p < 0.0001) throughout the postoperative period. ConclusionAt 12 months of follow-up, both techniques significantly lowered IOP, but fewer complications were observed in the Pi group.

The pH heterogeneity in human calf muscle during neuromuscular electrical stimulation.

The aim of the study was to examine pH heterogeneity during fatigue induced by neuromuscular electrical stimulation (NMES) using phosphorus magnetic resonance spectroscopy (31 P-MRS). It is hypothesized that three pH components would occur in the 31 P-MRS during fatigue, representing three fiber types. The medial gastrocnemius of eight subjects was stimulated within a 3-Tesla whole body MRI scanner. The maximal force during stimulation (Fstim ) was examined by a pressure sensor. Phosphocreatine (PCr), adenosintriphosphate, inorganic phosphate (Pi), and the corresponding pH were estimated by a nonvolume-selective 31 P-MRS using a small loop coil at rest and during fatigue. During fatigue, Fstim and PCr decreased to 27% and 33% of their initial levels, respectively. In all cases, the Pi peak increased when NMES was started and split into three different peaks. Based on the single Pi peaks during fatigue, an alkaline (6.76 ± 0.08), a medium (6.40 ± 0.06), and an acidic (6.09 ± 0.05) pH component were observed compared to the pH (7.02 ± 0.02) at rest. It is suggested that NMES is able to induce pH heterogeneity in the medial gastrocnemius, and that the single Pi peaks represent the different muscle fiber types of the skeletal muscle. Magn Reson Med 77:2097-2106, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Understanding the Performance of Low Power Raspberry Pi Cloud for Big Data

Nowadays, Internet-of-Things (IoT) devices generate data at high speed and large volume. Often the data require real-time processing to support high system responsiveness which can be supported by localised Cloud and/or Fog computing paradigms. However, there are considerably large deployments of IoT such as sensor networks in remote areas where Internet connectivity is sparse, challenging the localised Cloud and/or Fog computing paradigms. With the advent of the Raspberry Pi, a credit card-sized single board computer, there is a great opportunity to construct low-cost, low-power portable cloud to support real-time data processing next to IoT deployments. In this paper, we extend our previous work on constructing Raspberry Pi Cloud to study its feasibility for real-time big data analytics under realistic application-level workload in both native and virtualised environments. We have extensively tested the performance of a single node Raspberry Pi 2 Model B with httperf and a cluster of 12 nodes with Apache Spark and HDFS (Hadoop Distributed File System). Our results have demonstrated that our portable cloud is useful for supporting real-time big data analytics. On the other hand, our results have also unveiled that overhead for CPU-bound workload in virtualised environment is surprisingly high, at 67.2%. We have found that, for big data applications, the virtualisation overhead is fractional for small jobs but becomes more significant for large jobs, up to 28.6%.

Collaboration in neuroscience: the young PI perspective

Collaboration in neuroscience: the young PI perspective