The PID controller is one of the common control strategies in automatic control systems and is applied in various practical scenarios. Optimizing the design of PID controllers is an important topic at present. In this...
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The PID controller is one of the common control strategies in automatic control systems and is applied in various practical scenarios. Optimizing the design of PID controllers is an important topic at present. In this article, to solve the disadvantages of traditional PID parameter tuning methods such as time-consuming, prone to local search, complex calculation, and unclear termination criteria, a PID parameter tuning strategy based on multi-strategy fusion improved zebra optimizationalgorithm (MZOA) is proposed. For a series of problems such as the zebra optimizationalgorithm (ZOA) is prone to local optimization and slow convergence speed, the chaotic mapping and householder mirror reflection learning are combined to initialize the population, improve the distribution quality of the initial population in the search space, and introduce the tangent flight strategy based on the tangent search algorithm. The tangent flight strategy can stably produce a larger step length throughout the iteration, optimize the global search ability of the algorithm, and avoid falling into the local optimum. In the stage of resisting predator attacks, a sine-cosine optimizationalgorithm on hyperbolic cosine enhancement factor is introduced, using its oscillation to disturb the population and enhance the global search ability. Finally, the improved zebra optimizationalgorithm is used to optimize the parameters of the PID controller, and the MZOA-PID parameter tuning model and the ZOA-PID parameter tuning model are simulated. The simulation results show that compared with ZOA, MZOA has higher convergence accuracy and performance, can tune PID parameters faster, and makes the actual output curve of PID control parameters closest to the theoretical output curve.
Since the Copenhagen Climate Change Conference, global concern over carbon emissions has been steadily increasing. In response to this goal, the vessel "Marine Petroleum 257" underwent an electric system hyb...
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ISBN:
(纸本)9798350377477;9798350377460
Since the Copenhagen Climate Change Conference, global concern over carbon emissions has been steadily increasing. In response to this goal, the vessel "Marine Petroleum 257" underwent an electric system hybrid power retrofit to enhance fuel efficiency and reduce carbon emissions. This paper first introduces the structure and operation mode of the target vessel before the retrofit, followed by a detailed explanation of the hybrid power retrofit plan, including the installation and debugging of intelligent energy efficiency data acquisition systems and hybrid power equipment based on lithium iron phosphate battery packs. A hybrid power system energy management strategy is proposed based on charging and discharging tests of on-board energy storage batteries. Using maximum fuel savings from a single charge-discharge cycle as the evaluation criterion, with the main diesel engine shaft power and shaft-driven generator active power as decision variables, considerations include ship power supply balance, main diesel engine power output constraints, and the reliability of the power system. In the MATLAB environment, energy allocation is optimized using an improved hippo optimization algorithm. The results indicate that this strategy can effectively save fuel and holds promising practical applications.
In view of the problems such as low fault location accuracy of existing cable-overhead-hybrid transmission lines and difficulty in identifying the traveling wave head, this paper presents a newfashioned fault location...
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In view of the problems such as low fault location accuracy of existing cable-overhead-hybrid transmission lines and difficulty in identifying the traveling wave head, this paper presents a newfashioned fault location technology for cable-overhead-hybrid transmission lines. Accurate calibration of the traveling wave head is achieved by improving the HOVMD-TKEO method. And based on this, the fault accurate location of overhead-cable hybrid line is realized by wave velocity normalization method. Finally, the feasibility and accuracy of this method is verified by PSCAD/EMTDC simulation analysis of 110kV cable-overhead-hybrid transmission lines.
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