Fuzzy Control of Cold Storage Refrigeration System with Dynamic Coupling Compensation

Cold storage refrigeration systems possess the characteristics of multiple input and output and strong coupling, which brings challenges to the optimize control. To reduce the adverse effects of the coupling and improve the overall control performance of cold storage refrigeration systems, a control strategy with dynamic coupling compensation was studied. First, dynamic model of a cold storage refrigeration system was established based on the requirements of the control system. At the same time, the coupling between the components was studied. Second, to reduce the adverse effects of the coupling, a fuzzy controller with dynamic coupling compensation was designed. As for the fuzzy controller, a self-tuning fuzzy controller was served as the primary controller, and an adaptive neural network was adopted to compensate the dynamic coupling. Finally, the proposed control strategy was employed to the cold storage refrigeration system, and simulations were carried out in the condition of start-up, variable load, and variable degree of superheat, respectively. The simulation results verify the effectiveness of the fuzzy control method with dynamic coupling compensation

Avoidance High-Frequency Chattering Second-Order Sliding Mode Controller Design: Buck Converter in Wind Power System

This paper mainly discussed a method of high-frequency second-order sliding mode control for Buck converter in wind power systems. Because the wind energy of nature is always unpredictable and intermittent, the robust control such as sliding mode control is adopted in past literatures. In order to remove the high frequency chattering problem when the traditional sliding mode achieves convergence, the second order sliding mode algorithm is reviewed firstly. Meanwhile, the Buck converter taken as a step-down converter is usually adopted in wind power system, because of its simple structure and good linearity. Under those conditions, the second order sliding mode controller is designed based on Buck converter, especially in high-power wind generation system. The experimental results illustrate that the theory of second order sliding mode can be used in high-power Buck converter. It provides one novel avoidance high frequency chattering method for the technology development of new energy generation system

Zero-voltage ride-through capability of single-phase grid-connected photovoltaic systems

Distributed renewable energy systems play an increasing role in today’s energy paradigm. Thus, intensive research activities have been centered on improving the performance of renewable energy systems, including photovoltaic (PV) systems, which should be of multiple-functionality. That is, the PV systems should be more intelligent in the consideration of grid stability, reliability, and fault protection. Therefore, in this paper, the performance of single-phase grid-connected PV systems under an extreme grid fault (i.e., when the grid voltage dips to zero) is explored. It has been revealed that combining a fast and accurate synchronization mechanism with appropriate control strategies for the zero-voltage ride-through (ZVRT) operation is mandatory. Accordingly, the representative synchronization techniques (i.e., the phase-locked loop (PLL) methods) in the ZVRT operation are compared in terms of detection precision and dynamic response. It shows that the second-order generalized integrator (SOGI-PLL) is a promising solution for single-phase systems in the case of fault ride-through. A control strategy by modifying the SOGI-PLL scheme is then introduced to single-phase grid-connected PV systems for ZVRT operation. Simulations are performed to verify the discussions. The results have demonstrated that the proposed method can help single-phase PV systems to temporarily ride through zero-voltage faults with good dynamics

Active Disturbance Rejection Control of Thermal Power Unit Coordinated System based on Frequency Domain Analysis

For the multi-input and multi-output, strong-coupling nonlinear features of coordinated system for thermal power unit, it is difficult for traditional PID coordinated control scheme to meet the power grid demand which often participates in peak regulation and frequency modulation. In this paper, Inverse Nyquist array is employed to carry out frequency domain analysis of the plant model. Then Pseudo diagonalization is used to design the static decoupling compensation matrix of the system. Above on these, the linear active disturbance rejection controller of every channel in coordinated system can be designed repectively. Dynamic coupling and system unknown parts are observed by extended state observer of ADRC and is compensated to the system in time. The simulation tests show that the disturbance rejection results of the load and the main steam pressure for the coordinated control system under LADRC is better than that of PID control

Method for Effectively Utilizing Node Energy of WSN for Coal Mine Robot

As a special application scenario, the data collected by wireless sensor networks of coal mine robot is from vital and dangerous environment. Therefore, the nodes need to work as long as possible. In order to efficiently utilize the node energy of wireless sensor network, this paper proposes a self-organizing routing method for wireless sensor networks based on Q-learning. The method takes many factors into account, such as the hop number, distance, residual energy, and node communication loss and energy. Each node of the wireless sensor networks is mapped into an Agent. Periodic training is carried out to optimize the route choice. Each Agent chooses the optimal path for data transmission according to the calculated Q evaluation value. Simulation results show that the self-organizing sensor networks using Q-learning can balance the energy consumption of the nodes and prolong the lifetime of the networks

Journal of Solid State Lighting

International audienc

Cost-minimization predictive energy management of a postal-delivery fuel cell electric vehicle with intelligent battery State-of-Charge Planner

Fuel cell electric vehicles have earned substantial attentions in recent decades due to their high-efficiency and zero-emission features, while the high operating costs remain the major barrier towards their large-scale commercialization. In such context, this paper aims to devise an energy management strategy for an urban postal-delivery fuel cell electric vehicle for operating cost mitigation. First, a data-driven dual-loop spatial-domain battery state-of-charge reference estimator is designed to guide battery energy depletion, which is trained by real-world driving data collected in postal delivery missions. Then, a fuzzy C-means clustering enhanced Markov speed predictor is constructed to project the upcoming velocity. Lastly, combining the state-of-charge reference and the forecasted speed, a model predictive control-based cost-optimization energy management strategy is established to mitigate vehicle operating costs imposed by energy consumption and power-source degradations. Validation results have shown that 1) the proposed strategy could mitigate the operating cost by 4.43% and 7.30% in average versus benchmark strategies, denoting its superiority in term of cost-reduction and 2) the computation burden per step of the proposed strategy is averaged at 0.123ms, less than the sampling time interval 1s, proving its potential of real-time applications

A two-amino-acid substitution in the transcription factor RORγt disrupts its function in T_H17 differentiation but not in thymocyte development

The transcription factor RORγt regulates differentiation of the T_H17 subset of helper T cells, thymic T cell development and lymph-node genesis. Although elimination of RORγt prevents T_H17 cell–mediated experimental autoimmune encephalomyelitis (EAE), it also disrupts thymocyte development, which could lead to lethal thymic lymphoma. Here we identified a two-amino-acid substitution in RORγt (RORγt^M) that 'preferentially' disrupted T_H17 differentiation but not thymocyte development. Mice expressing RORγt^M were resistant to EAE associated with defective T_H17 differentiation but maintained normal thymocyte development and normal lymph-node genesis, except for Peyer's patches. RORγt^M showed less ubiquitination at Lys69 that was selectively required for T_H17 differentiation but not T cell development. This study will inform the development of treatments that selectively target T_H17 cell–mediated autoimmunity but do not affect thymocyte development or induce lymphoma

Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Pseudomyxoma Peritonei of Appendiceal Origin - 801 Cases from a Single Institution in China

Aim: As more and more centers has published their treatment results ofpseudomyxoma peritonei (PMP) with cytoreductive surgery (CRS) andhyperthermic intraperitoneal chemotherapy (HIPEC), the data from Chinais missing. Myxoma Department of Aerospace Hospital is the biggestcenter treating PMP in China. The purpose of this study is to report theearly and long-term outcomes for PMP from this single center. Methods:801 appendix-derived PMP out of 1008 consecutive patients treated inMyxoma Department of Aerospace Hospital between 2008 and 2019 wereretrospectively analyzed. Results: Complete cytoreductive surgery (CCRS)was achieved in 240 (30%) patients with median PCI of 14(1~39), andthe rest had maximal tumor debulking (MTD), HIPEC was implementedin 96.3% of CCRS and 78.6% of MTD. The major morbidity (gradeIII/IV) was 11.4% and the 30-day operative mortality is 0.7%. The 5-and 10-year OS of CCRS was 76.9% and 64.1%, which is significantlyhigher than MTD (5-, 10-year OS as 36.1%, 27.1%; p20, MTD, high pathologic grade and without HIPECwere independent factors predicting poorer prognosis. Conclusions: CCRS+HIPEC can benefit PMP well with controllable risks. MTD+HIPEC maybenefit PMP as well when CCRS cannot be achieved after fully asscessmentby an experienced peritoneal maglignacy center, but the surgery should beperformed as limited as possible