Permanent Control Research Articles

Research Note: Reduction of Salmonella load in Brazilian commercial chicken farms using INSPEKTOR®: a bacteriophage-based product

Salmonella is a zoonotic pathogen transmitted through food and one of the four leading global causes of diarrheal disease in humans. Brazil is the world's largest exporter of poultry meat, and as such, Brazilian farms routinely detect and prevent Salmonella. The last official monitoring and control in poultry slaughter establishments in Brazil in 2023 detected Salmonella spp. in 14.80 % of samples from chickens, and those Salmonella-positive samples were classified as serovar Minnesota in 65.76 % of samples, serovar Heidelberg in 16.10 % of samples and another 26 or more serovars non-typeable represented a total of 18.13 % of the samples. However, despite these measures, several poultry diseases and outbreaks have been reported in recent decades, requiring permanent disease control. Bacteriophages, which act as specific parasites of bacterial cells, can contribute to food safety. This study evaluated the effectiveness of the INSPEKTOR® phage cocktail for controlling Salmonella on 17 commercial broiler farms on a total of 4 experimental groups (1 control cycle and 3 consecutive treatment cycles) using 3 doses of the cocktail for each cycle. Salmonella load was quantified (DNA copies/mL) by real-time PCR using the invA marker for Salmonella spp., together with serovars Minnesota and Heidelberg, which are relevant to the industry in Brazil. Our results showed that INSPEKTOR® reduced Salmonella load from 0.5 up to 6 logs in the treatment cycles 3 and 4 compared to the control cycle, and reduced the load of Minnesota and Heidelberg in all 3 treatment cycles. This study is relevant as it involves applying a phage cocktail capable of reducing Salmonella load in real poultry production systems with over 3 million broiler chickens.

An Improved Nonlinear Active Disturbance Rejection Controller via Sine Function and Whale Optimization Algorithm for Permanent Magnet Synchronous Motors Speed Control

Permanent magnet synchronous motors (PMSMs) speed control has gained wide application in various fields. Specifically, there is a disadvantage that nonlinear functions in the conventional active disturbance rejection controller (ADRC) is non‐differentiable at the piecewise points. Thus, an improved nonlinear active disturbance rejection controller (NLADRC) for permanent magnet synchronous motor speed control via sine function and whale optimization algorithm (WOA), abbreviated as NLADRC‐sin‐IWOA, is proposed to overcome this drawback. Considering the unsatisfactory control effect caused by the poor active disturbance resisting ability of the traditional PMSM controllers, this paper proposes an improved NLADRC for PMSM, that reconstructs a novel differentiable and smooth nonlinear function, the novel nonlinear function grounded on primitive function by the function of inverse hyperbolic, sine, square functions, and with difference fitting approach; and designs an improved whale optimization algorithm via convergence factor nonlinear decreasing, Gaussian variation and adaptive cross strategies. The experimental results findings show that the improved NLADRC‐sin‐IWOA has the advantages of response fast, small steady‐state error and tiny overshoot. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

Analysis of Optimization Algorithms Used in Permanent Magnet Synchronous Motor Control According to Different Performance Indices

Permanent magnet synchronous motors (PMSM) can be produced at lower costs with new developments in magnet technology and are widely used in many industrial areas due to their low energy consumption. The widespread use of PMSM brings with it the requirement for high accuracy control performance. In order to achieve high performance accuracy, vector control technique is generally preferred. However, the parameter values of the controllers used in this technique are very important for motor performance. Tuning these parameters by optimization techniques instead of classical methods has become a popular topic. Nowadays, modern control methods show more effective control behavior than classical control methods, which has made the use of modern control methods widespread and studies on modern control methods have intensified. In this study, the analysis of different optimization algorithms used in the control of an PMSM according to their performance indices is investigated in Matlab-Simulink environment. As a result of simulation with different optimization algorithms under the same conditions, the analysis of optimization algorithms using different performance indices such as integral of the absolute value of the error (IAE), integral of the square of the error (ISE), Integral of the Square of the Error Multiplied by Time (ITSE), and Integral of the Absolute Error Multiplied by Time (ITAE) is carried out.

Multi-stage control design for oscillating water column-based ocean wave energy conversion system

Despite the enormous global potential of ocean wave energy, it has yet to achieve a level of maturity and economic competitiveness that would result in a substantial impact. Challenges include direct integration into weak or isolated microgrids, a high proportion of uncertain marine environments, nonlinear dynamics, oscillating water column (OWC) device limitations, slower response times, unplanned power outages, power fluctuations, high capital and operational costs in ocean wave energy conversion (OWEC) systems. To this end, a new independent multi-stage design approach is proposed for the performance enhancement of an OWC-based OWEC system. Firstly, an airflow and rotational speed optimal control stage enhances power capture in the Wells turbine-based OWC plant. Secondly, compared to conventional control, the proposed permanent magnet synchronous generator control incorporates an adaptive nonlinear back-stepping control algorithm based on Lyapunov stability theory. Thirdly, introducing reconfigurable control into the conventional six-leg power converter ensures the uninterrupted operation of an OWEC system. Lastly, a model-predictive control-based energy management system is integrated with a bidirectional DC-DC converter that delivers steady power from the grid-connected OWC OWEC system. Hence, MATLAB simulations ensure the overall performance enhancement and feasibility of the OWEC system application and verify that the proposed multi-stage solution is efficient, robust, and reliable.

Research on constant tension yarn transfer control technology based on AGA-PID and FOC algorithm

To solve the problems of poor real-time tension tracking, large overshoot, long adjustment time, and large tension fluctuation error that exist in the current control system for yarn feeding in the circular weft knitting machine, this paper presents an optimized and improved adaptive genetic algorithm (AGA) for adjusting the PID (Proportional Integral Derivative) parameters of the tension control part of the yarn-conveying system (AGA-PID). The algorithm is combined with the field-oriented control technology of the permanent magnet synchronous motor to design a closed-loop control strategy for the yarn-conveying system of a circular weft knitting machine. The MATLAB-Simulink simulation model was used to analyze the external tension loop-based AGA-PID controller and permanent magnet synchronous motor dual closed-loop control strategy of the yarn transport control system. The experimental verification was conducted by constructing an experimental platform that simulates the real process of yarn transportation. The outcomes of system simulations and experiments have consistently demonstrated that the AGA-PID control algorithm outperforms the GA-PID and PID control algorithms in terms of overshooting, response speed, stability, and anti-jamming ability. The yarn transport control system, which is designed to operate based on an AGA-PID control algorithm, is capable of reducing the fluctuations in tension that occur during the transportation of yarn and exhibits enhanced control accuracy, effectively stabilizing yarn tension control during the conveying process. The application of this algorithm can enhance the overall elasticity uniformity and surface flatness of knitted fabrics, thereby facilitating the realization of adjustable and controllable local elasticity in fabrics.

The impact of the Roe v. Wade overturn on birth control prescriptions and sterilisation procedures in rural NC

Background/Introduction On June 24, 2022, the Supreme Court overturned the 1973 verdict in the Roe v. Wade legal suit that had established the constitutional right to medical abortion [1]. With the right to abortion now being left to the states, many restrictions regarding abortion procedures are being established [2]. We aim to evaluate whether this has led to an increase in the number of birth control prescriptions and sterilisation procedures at Cape Fear Valley Medical Centre in rural North Carolina. Methods SlicerDicer program within EPIC medical records database was used to retrieve the records of all women that had an obstetrics and gynaecology appointment with Cape Fear Valley Health System between 11/01/21-12/31/2022 for contraception. The data was sorted into race/ethnicity, age, and types of birth control. Principal outcomes measured the trends in birth control prescription or sterilisation procedure appointments before and after the overturn of Roe v. Wade. Results Contraceptive pill prescriptions decreased from 51.70% to 32.40%. IUD insertions decreased from 39.40% to 11.30%. Injectable birth control remained consistent, at approximately 16%. Nexplanon implantations dropped from 20.60% to 9.70%. Lastly, sterilisation procedures increased from 6.7% to 10.7%. Conclusion Majority of birth control prescriptions decreased following the overturn of Roe v. Wade, except for sterilisation, which increased by 4.0%. This may indicate that women are now looking for more permanent birth control options after the overturn of Roe v. Wade. Future research should investigate whether similar trends of increasing prevalence of sterilisation procedures is seen throughout the United States. SHORT CONDENSATION We aim to assess the impact of the Supreme Court overturn regarding the Roe v. Wade legal suit on contraceptive decisions in rural North Carolina.

High-Speed Permanent Magnet Synchronous Motor Sensorless Control Based on Stator Current Prediction

High-Speed Permanent Magnet Synchronous Motor Sensorless Control Based on Stator Current Prediction

Improved Performance of the Permanent Magnet Synchronous Motor Sensorless Control System Based on Direct Torque Control Strategy and Sliding Mode Control Using Fractional Order and Fractal Dimension Calculus

This article starts from the premise that one of the global control strategies of the Permanent Magnet Synchronous Motor (PMSM), namely the Direct Torque Control (DTC) control strategy, is characterized by the fact that the internal flux and torque control loop usually uses ON–OFF controllers with hysteresis, which offer easy implementation and very short response times, but the oscillations introduced by them must be cancelled by the external speed loop controller. Typically, this is a PI speed controller, whose performance is good around global operating points and for relatively small variations in external parameters and disturbances, caused in particular by load torque variation. Exploiting the advantages of the DTC strategy, this article presents a way to improve the performance of the sensorless control system (SCS) of the PMSM using the Proportional Integrator (PI), PI Equilibrium Optimizer Algorithm (EOA), Fractional Order (FO) PI, Tilt Integral Derivative (TID) and FO Lead–Lag under constant flux conditions. Sliding Mode Control (SMC) and FOSMC are proposed under conditions where the flux is variable. The performance indicators of the control system are the usual ones: response time, settling time, overshoot, steady-state error and speed ripple, plus another one given by the fractal dimension (FD) of the PMSM rotor speed signal, and the hypothesis that the FD of the controlled signal is higher when the control system performs better is verified. The article also presents the basic equations of the PMSM, based on which the synthesis of integer and fractional controllers, the synthesis of an observer for estimating the PMSM rotor speed, electromagnetic torque and stator flux are presented. The comparison of the performance for the proposed control systems and the demonstration of the parametric robustness are performed by numerical simulations in Matlab/Simulink using Simscape Electrical and Fractional-Order Modelling and Control (FOMCON). Real-time control based on an embedded system using a TMS320F28379D controller demonstrates the good performance of the PMSM-SCS based on the DTC strategy in a complete Hardware-In-the-Loop (HIL) implementation.

COMPARISON OF SOME QUALITY PARAMETERS IN SOUR CHERRY JUICE IN DIFFERENT PACKAGING

Fruits and their products are of great importance in the food industry. Fruit juices are found in almost every market, which helps consumers to get nutritional value from their consumption. The quality and insurance must be at the right level, but even more important to apply permanent control. Sampling was carried out randomly directly in the supermarket, and the analysis of parameters in the study of sensory quality (color, taste, aroma, and homogeneity) and physical-chemical (pH, °Brix, total acidity, and turbidity) in sour cherry juice is of importance because the same juice in different packaging is compared. After the analyses that have been carried out and the results obtained, they provide additional insight into the analyzed parameters. So, the consumer receives additional information, also confidence in the quality of the product will increase based on the results obtained. In conclusion, even though we are talking about the same sour cherry juice, as a result of the % content of the raw material with different amounts and the different packaging, the analyses for the parameters under study prove the differences, but at the limit, so the analyzed juices are within the standard for quality.

The fourth order flux observer with in‐loop filter for permanent magnet synchronous motor sensorless control

AbstractGiven the presence of various non‐ideal conditions, such as detection errors, converter non‐linearity, noise, and parameter mismatches, the flux model experiences the introduction of DC bias and high‐frequency harmonics, which subsequently deteriorate the accuracy of flux estimation. To dispose these issues, an improved non‐linear flux observer (FOIFFO) using a second‐order generalised integrator as an in‐loop filter is proposed for the sensorless control of permanent magnet synchronous motors. The observer demonstrates robust performance in eliminating DC bias and having a strong filtering ability for high‐order harmonics even without amplitude and phase compensation to accurately estimate the rotational speed and rotor position. The performance of the method is analysed by transfer functions and bode plots, while the discretisation method of the FOIFFO is proposed. Finally, the new sensorless control strategy is verified by synthesising the experimental results.

Study of permanent magnet synchronous motor control based on sliding mode observer

Study of permanent magnet synchronous motor control based on sliding mode observer

Improved weighting factor selection method of predictive torque control for PMSM

AbstractIn the traditional predictive torque control strategy, the cost function considers two different control objectives: stator flux and torque. Therefore, it is necessary to reasonably set the weighting factor to ensure that the optimal voltage vector is accurately selected during the control process, thereby achieving better torque and flux control performance. In view of the complex tuning process caused by traditional predictive torque control setting method of weighting factor, a new weighting factor selection method for permanent magnet synchronous motor control system is proposed in this paper. The derivation process is based on the equivalent transformation between the torque–flux prediction and the voltage vector prediction. If both the cost functions of the torque–flux and voltage vector reach their minimum values, the same output voltage vector will be selected. Compared with previous studies, the algorithm proposed in this paper can find the precise location of the optimal weighting factor without changing the form of the cost function, which simplifies the parameter tuning process. Experimental results are also provided to validate the effectiveness of the proposed algorithm.

Speed regulation system based on proportional resonance self-coupling PI control

In this paper, an improved self-coupled PI control dual-loop control strategy is proposed for the vector control of permanent magnet synchronous electric speed control system, to improve the poor motor control effect caused by the dead zone of the inverter, the presence of harmonics in the motor magnetic field distribution, and the error in the sampling process of the current. In order to reduce the tracking error of the signal, an acceleration feed-forward method is adopted, and the self-coupled PI controller with an additional Levant differentiator is introduced into the speed loop of the permanent magnet synchronous motor to ensure the accurate derivation of the input signal containing noise to improve the robustness of the system. In addition, this strategy combines the proportional term of the autotuned PI control structure with the standard resonator to form a proportional resonant autotuned PI in the current loop, so that the permanent magnet synchronous motor can better compensate the current in the current loop control to achieve the effect of current harmonic suppression. Finally, the control mechanism of the servo system analyzed, and based on the mathematical model of the controlled object PMSM, the design method of the improved self-coupling PI control structure is given. The experimental results show that the proposed control strategy can reduce the impact of the motor's own parameter changes on the system performance and has a good current harmonic suppression in the low-speed domain, which verifies the effectiveness of the designed improved self-coupled PI controller.

Permanent Magnet Synchronous Motor Speed Control System Based on Fractional Order Integral Sliding Mode Control

Permanent Magnet Synchronous Motor Speed Control System Based on Fractional Order Integral Sliding Mode Control

Parameter fuzzy rectification for sliding mode control of five-phase permanent magnet synchronous motor speed control system

Introduction: Nowadays, five-phase permanent magnet synchronous motors have been widely used in the industrial and transportation fields, and the existing sliding mode control methods for speed control systems can no longer meet the requirements such as fast response and good stability.Methods: In light of the aforementioned considerations, the study initially employs mathematical modeling to elucidate the five-phase permanent magnet synchronous motor. Secondly, on the basis of proportional-integral-derivative sliding mode control, radial basis function and Takagi-Sugeno-Kang fuzzy model are introduced for parameter identification and optimization and regulation. Finally, a new neural network regulation algorithm and speed control strategy are proposed.Results and Discussion: The experimental results demonstrated that the expected parameter optimization rate of the regulation algorithm can reach 90%, and the overshooting amount under small inertia working condition is only 3%, and the adjustment time is 0.02 s. The new control algorithm can be used to control the motor speed with the lowest speed fluctuation and the fastest recovery time. In addition, when affected by the load torque, the motor speed controlled by the new strategy fluctuated the least, with a speed drop of only 1% and the fastest recovery time of 0.02 s. It exhibited the lowest control error of 3.7% and the lowest overshooting amount of 5.9%.Conclusion: In summary, the suggested approach has the potential to significantly enhance the speed control system’s control performance while maintaining strong resilience and anti-interference capabilities. The method has certain guiding significance for the practical application of five-phase permanent magnet synchronous motor speed control system.

“Actions speak louder than words: constance of France and motherhood in 12th-century Norman Italy”

ABSTRACT In 1106, Constance, the daughter of King Philip I of France, married Bohemond of Antioch, a hero of the First Crusade. After their wedding, the couple returned to Bohemond’s territories in Apulia. However, their marriage proved short-lived. Bohemond’s untimely death in 1111 left Constance with the task of securing the inheritance of their only surviving son, Bohemond II, still a minor at the time. Throughout the course of the next fifteen years, Constance was relentless in her determination to preserve Bohemond II’s patrimony, enduring repeated captivities and working tirelessly to secure the military and diplomatic support necessary to establish permanent control of his inheritance. This article argues that these actions on behalf of her son and the experiences that informed them reflect her expectations about motherhood and her understanding of her role in that capacity. It integrates a range of sources, most notable among them her unique seal, to demonstrate how her conception of motherhood was informed by her own experiences as a child and her observations of other powerful women acting on behalf of their own sons. Her tenacity was a direct reflection of her emotional investment in and maternal commitment to Bohemond II, providing insight into the medieval mother-son bond. Her determination to physically protect her son in the present as well as ensure his future safety by establishing control of the lands he inherited from his father were impulses she would have shared with noble mothers across medieval Europe.

Sliding Mode Speed Control for PMSM Based on Model Predictive Current

To enhance the dynamic performance and disturbance rejection capability of the permanent magnet synchronous motor speed control system, a novel speed control method based on a novel sliding mode control (NSMC) and load torque observer is proposed on the basis of model predictive current control (MPCC) with a sliding mode disturbance observer. First, on the basis of MPCC, the influence of parameters such as resistance, inductance, and flux linkage on MPCC is analyzed. To address the aggregated disturbance caused by parameter mismatches, a piecewise square-root switching function sliding mode disturbance observer (SMDO) is designed to enhance the robustness of the parameters. To address the poor dynamic performance and inadequate robustness resulting from the proportional-integral-controller (PI) velocity loop control in the MPCC, a novel NSMC velocity control method is proposed. This method utilizes the hyperbolic sine function and fractional-order integral sliding mode surface, resolving the dilemma faced by traditional slide mode controllers (SMC) in balancing fast response and reduced vibration. Additionally, to enhance the system’s disturbance rejection capability, a sliding mode torque observer (SMTO) is designed to continuously update the observed load torque value into the NSMC controller, achieving speed compensation control. Finally, through comparative experiments among the proportional integral controller (PI), SMC, NSMC, and NSMC + SMTO, the results indicate that the proposed NSMC + SMTO exhibits the best speed response, steady-state characteristics, and disturbance rejection capability.

Understanding Compost-Bedded Pack Barn Systems in Regions with a Tropical Climate: A Review of the Current State of the Art.

The main challenge in milk production has been to maintain a focus on efficient processes that enhance production outcomes while aligning with animal welfare and sustainability and being valued by society. As an alternative to improve cow welfare in production and provide better handling of the waste generated by the activity, the system called the compost-bedded pack barn (CBP) has been widely adopted in countries with temperate climates and higher milk production. This CBP has been attracting global interest, including from countries with tropical and subtropical climates, such as Brazil, where many producers have started to use it due to the response in terms of milk productivity. A CBP can be designed either in (a) an open facility with natural ventilation or a positive-pressure ventilation system or (b) totally closed facilities, equipped with negative-pressure ventilation systems and permanent thermal control. The latter system is being implemented in Brazil, despite insufficient knowledge about its efficiency. The objective of this study was, through a review, to gather and describe the most recent information on the use of open and closed CBP systems for dairy cattle housing, mainly covering how it is applied in tropical climate regions. To achieve the proposed objective, this review study included the following topics related to CBPs: (i) implementation, (ii) bedding, (iii) general construction and architectural characteristics, and (iv) ambient thermal conditioning. Knowledge gaps and directions for future research are also identified here.

Evaluating the impact of porcupine systems in the flow field of the river: a hydrodynamic model study

ABSTRACT Riverbank and in-stream protection are crucial in numerous river stretches, where erosion of banks and bed material instigates river course alterations, consequently leading to land and property damage. In large Indian braided rivers like Brahmaputra, implementing tetrahedron frames commonly referred to as ‘porcupines’ has emerged as a cost-effective strategy for river training, yielding commendable outcomes in near bank sedimentation. Using flexible river training structures, such as porcupine, presents an appealing option for managing braided river channel networks in areas where permanent control structures like groynes or dams prove excessively costly or potentially ineffective, particularly in systems exhibiting highly dynamic flow regimes and morphology. This work aims to develop a hydrodynamic model that integrates the porcupine systems within its framework. The model’s effectiveness was assessed through a field test near Nematighat, Brahmaputra River, in collaboration with Assam’s Water Resources Department. The mathematical modelling provided some valuable insights regarding the flow characteristics surrounding the porcupine structure, shedding light on its hydrodynamic behaviour.

Permanent magnet synchronous motor NFTSM control based on novel exponential convergence law and ESO

Abstract To solve the problems of slow convergence and serious system chatter in PMSM speed regulation of traditional exponential approach law sliding mode control (SMC), a PMSM fast terminal slip mode (NFTSM) beat free predictive current control (DPCC) strategy based on improved exponential control rate and extended sliding mode observer (ESO) is proposed. The non-singular fast terminal slip-mode controller based on improved exponential control rate and ESO is used in the speed loop. A new exponential approach law is proposed. The stability of the system is proved by using the Lyapunov function. The robustness of the speed controller is improved while reducing the vibration. DPCC control strategy based on ESO is adopted for the current loop to compensate comprehensive disturbance of the current loop. The experiment results show that the control strategy has good speed tracking performance and anti-jamming performance.