This paper addresses the joint state estimation and control problems for unknown linear time-invariant systems subject to both process and measurement noise. The aim is to redesign the linear quadratic Gaussian (LQG) ...
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In the context of carbon neutrality, the power industry is becoming the main battlefield of carbon emission reduction. However, the low-carbon transformation of energy structure is a complex long-term task, it needs t...
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In the context of carbon neutrality, the power industry is becoming the main battlefield of carbon emission reduction. However, the low-carbon transformation of energy structure is a complex long-term task, it needs to be analyzed in combination with the actual situation. This paper is based on the microgrid in the grid connection mode, considering microgrid power output and carbon emission constraints. An optimal model is proposed to reduce carbon emission cost, the optimal economic operation, and build a low-carbon scheduling model of a microgrid system. In this paper, the improved multi-objective particle swarm optimization algorithm is used to solve the problem. Finally, the simulation results verify the effectiveness of the model and the superiority of the improved algorithm.
When a high proportion of renewable energy is connected to the grid, the net load fluctuation can be suppressed by configuring energy storage. However, the current cost of energy storage is high. This paper proposes a...
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When a high proportion of renewable energy is connected to the grid, the net load fluctuation can be suppressed by configuring energy storage. However, the current cost of energy storage is high. This paper proposes a bi-level optimization model that takes into account the dynamic allocation of shared energy storage (SES) capacity in response to electric load demand. The upper-layer objective function adopts EO optimization algorithm, which is to maximize the income of the shared energy storage operator (SESO). The lower-layer multi-objective function is to minimize the sum of the operating cost and the net load mean square error of multiple microgrids, which can be classified as the mixed integer linear programming problem. Then, the solution flow of the algorithm is given. Finally, under the constraints of the hierarchical optimization-based model, solving the problem by the CPLEX solver on the MATlab platform. The results demonstrate that the proposed method can allocate optimal capacity and reduce operating costs for microgrids. Simultaneously, this method increases the revenue of SESO and promotes the consumption of renewable energy.
The fuel quantity actuator is a significant component in the position-controlled fuel injection pump,which controls the fuel quantity injected into the diesel *** the fuel quantity actuator system,there are nonlineari...
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The fuel quantity actuator is a significant component in the position-controlled fuel injection pump,which controls the fuel quantity injected into the diesel *** the fuel quantity actuator system,there are nonlinearities and multi-source disturbances which result in significant degradations of control performance and increase the difficulty of *** researches merely consider the constant disturbance in the fuel quantity actuator system but ignore the existing harmonic disturbance,as a result,it is hard to achieve excellent control performance in the presence of harmonic *** paper analyses the working principle of system in detail,considers multiple sources of disturbances,and then establishes the nonlinear mathematical model with multi-source disturbances including constant disturbances and harmonic ***,a baseline chattering free continuous sliding mode controller is *** the baseline controller,the feedback linearization technique is applied to handle the *** order to further reduce the steady-state fluctuation,a multi-source disturbance observer composed of a disturbance observer（DOB） and a harmonic disturbance observer（HDOB） is employed to estimate the multi-source disturbances and the estimations are used for *** this end,a multi-source disturbance observer based continuous sliding mode control approach is *** guaranteeing robustness and free chattering,the steady-state fluctuation is reduced effectively since the switch function gain in the continuous control law can be selected *** simulation validates the proposed control approach.
In this paper,the permanent magnet synchronous motor（PMSM） servo system with backlash is *** the mechanical transmission of the servo system uses gears,screw rods,on the one hand,the proper backlash can ensure the n...
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In this paper,the permanent magnet synchronous motor（PMSM） servo system with backlash is *** the mechanical transmission of the servo system uses gears,screw rods,on the one hand,the proper backlash can ensure the normal operation of the transmission mechanism;on the other hand,the existence of backlash nonlinearity will reduce the rigidity of the transmission mechanism,affect the tracking performance of the system,and even lead to mechanical *** order to eliminate the influence of the backlash nonlinearity,the modeling and identification of the backlash nonlinearity are introduced,and the influence of the backlash is compensated in the *** addition,in order to reject the possible model deviation and uncertain interference,reduce steady states fluctuations,a high-order sliding mode observer（HOSMO） based nonsingular terminal sliding mode control（NTSMC） is *** simulation verification,the compound controller proposed in this paper can effectively reduce the influence of the backlash nonlinearity and improve the position tracking performance of the system.
In order to optimize the control performance of the permanent magnet synchronous motor（PMSM） in the presence of strong disturbances and model uncertainty,a composite single-loop model predictive control（MPC） based...
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In order to optimize the control performance of the permanent magnet synchronous motor（PMSM） in the presence of strong disturbances and model uncertainty,a composite single-loop model predictive control（MPC） based on disturbance observer（DOB） is studied in this ***,a DOB is employed to estimate the lumped disturbance including the uncertain parameters and the external disturbance in real ***,benefitting from model-based design,estimations are introduced into the prediction model of the PMSM,then a composite single-loop MPC is designed based on this ***,the optimal control input is obtained,by introducing Lagrange vector and solving the quadratic programming problem with *** results show that the proposed composite control method has a faster transient response and a better disturbance rejection *** addition,compared with the generally cascade structure,only the predictive horizon and the observer poles are needed to be adjusted,so it provides a more practical optimization algorithm for the engineering application.
To realize the dual carbon policy, the goal of energy saving, and emission reduction, it is important to develop ways to better promote the low carbon economic operation of energy systems. Therefore, this research pro...
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To realize the dual carbon policy, the goal of energy saving, and emission reduction, it is important to develop ways to better promote the low carbon economic operation of energy systems. Therefore, this research proposes an optimal operation strategy considering the electric-gas-cooling-heat demand response. Considering the demand response of each participant, an integrated energy system model with photovoltaic, wind energy, and traditional grid as energy supply. Also, electric energy, natural gas, cooling, and heating subsystems with co-production are established. With minimizing the overall system operation cost and optimizing environmental protection, the improved particle swarm optimization algorithm is used to solve the multi-constrained objective optimization problem. Finally, the optimized model is tested. The results from this study show that the energy system under cogeneration can find a balance between economy and environmental friendliness, and provide a reference for the subsequent energy supply configuration.
Achieving precise robotic assembly is paramount for safety and performance in industrial settings. Conventional assembly methods require tedious manual adjustment of many parameters, and it is challenging to meet the ...
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Flexible manufacturing has given rise to complex scheduling problems such as the flexible job shop scheduling problem (FJSP). In FJSP, operations can be processed on multiple machines, leading to intricate relationshi...
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The study of resilient control of linear time-invariant (LTI) systems against denial-of-service (DoS) attacks is gaining popularity in emerging cyber-physical applications. In previous works, explicit system models ar...
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