Control Design of the Wave Compensation System Based on the Genetic PID Algorithm

Zhou, Mingjian; Wang, Yuqin; Wu, Haibing

doi:10.1155/2019/2152914

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…The Genetic PID control method simulates the process of natural selection and genetic mechanisms to optimize controller parameters for improved control performance. It does not require complete information about the controlled object, but it has drawbacks like high computational demands and slow convergence speed (Zhou et al, 2019;Ahmmed et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Water level control of nuclear steam generators using intelligent hierarchical autonomous controller

Peng,

Ma,

Xia

2024

Front. Energy Res.

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The challenge of water level control in steam generators, particularly at low power levels, has always been a critical aspect of nuclear power plant operation. To address this issue, this paper introduces an IHA controller. This controller employs a CPI controller as the primary controller for direct water level control, coupled with an agent-based controller optimized through a DRL algorithm. The agent dynamically optimizes the parameters of the CPI controller in real-time based on the system’s state, resulting in improved control performance. Firstly, a new observer information is obtained to get the accurate state of the system, and a new reward function is constructed to evaluate the status of the system and guide the agent’s learning process. Secondly, a deep ResNet with good generalization performance is used as the approximator of action value function and policy function. Then, the DDPG algorithm is used to train the agent-based controller, and an advanced controller with good performance is obtained after training. Finally, the popular UTSG model is used to verify the effectiveness of the algorithm. The results demonstrate that the proposed method achieves rise times of 73.9 s, 13.6 s, and 16.4 s at low, medium, and high power levels, respectively. Particularly, at low power levels, the IHA controller can restore the water level to its normal state within 200 s. These performances surpass those of the comparative methods, indicating that the proposed method excels not only in water level tracking but also in anti-interference capabilities. In essence, the IHA controller can autonomously learn the control strategy and reduce its reliance on the expert system, achieving true autonomous control and delivering excellent control performance.

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Section: Introductionmentioning

confidence: 99%

Water level control of nuclear steam generators using intelligent hierarchical autonomous controller

Peng,

Ma,

Xia

2024

Front. Energy Res.

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“…Triet et al [7] [8] controlled the speed of the second component by adaptive fuzzy sliding mode control strategy, and the research showed that this control method had better control performance than PID control. Zhou et al [9] studied how to combine the genetic algorithm with PID in the heave compensation control. Tang [10] used a particle swarm optimization algorithm to optimize the control cofficients of the controller to improve the effect so that the system had the advantages of subtle overshoot and ripid response time.…”

Section: Introductionmentioning

confidence: 99%

Speed Control of Secondary Regulation Heave Compensation Based on Fuzzy PID

Yan

Zhao

et al. 2023

J. Phys.: Conf. Ser.

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Aiming at the problem that the widely used heave compensation technology is difficult to balance the compensation effect and energy consumption, based on the secondary regulation technology, the fuzzy PID control method is selected to design a winch heave compensation system with energy recovery. Firstly, a mathematical model is established and analyze the energy-saving characteristics of the heave compensation system. Then, the swash plate controller and speed outer loop controller are designed, and the simulation is model with the AMESim-MATLAB co-simulation platform. Finally, the simulation results are tested by experiments. And the test result reflects that the compensation efficiency of the compensation is more than 90%, and part of the energy can be recovered. The controller has good control accuracy and stability. The compensation system can effectively compensate for the position deviation caused by waves, thus providing a safety guarantee for offshore operations.

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“…Huang et al [14] used the Lagrange kinematics equation and numerical simulation to analyze the influence of the rope length and lifting speed of the floating crane wave compensation system on the system response, which has great reference significance for the design of wave compensation systems. Zhou et al [15] proposed a genetic PID (proportionalintegral-differential) controller with feedforward compensation for compensating cranes to optimize the optimal indicators and PID parameters of the system. While maintaining system stability and accuracy, it improved the system's fast response ability and achieved good control results.…”

mentioning

confidence: 99%

Modeling and Simulation of a Turbine Access System with Three-Axial Active Motion Compensation

Wang,

Zhang,

Cheng

et al. 2023

JMSE

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As an essential transportation equipment for personnel to access offshore wind plants, the safety and stability of the turbine access system (TAS) have gained increasing significance. However, when sea conditions deteriorate, the end of the TAS will experience large-angle shaking and an increase in the heave height. A novel 3-DOFs TAS with active motion compensation for the Fujian coastal area is designed to solve the problem of the stability of the end of the TAS under sea conditions with a significant wave height of 2.2 m, including structural design, kinematic analysis, hydraulic drive design, and control system design. In the research, a new stacking compensation method is proposed to compensate for the roll angle, pitch angle, and heave height at the end of the TAS. The 3-DOFs TAS is modeled mathematically by the Denavit–Hartenberg parameters, and the hydraulic system model is established. In order to improve the compensation effect, a fuzzy PID controller with feedforward compensation is designed based on fuzzy PID control, and the model simulation experiment is carried out by MATLAB/Simulink. Finally, the experimental simulation shows that under the compensation of the feedforward compensation fuzzy PID control algorithm and the new compensation algorithm, the roll angle of the TAS is reduced by a maximum of 84.8%, the pitch angle is reduced by 75%, and the heave height is reduced by 73.6%. This validates the effectiveness of the proposed scheme and provides a reference for future TAS design and development.

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Control Design of the Wave Compensation System Based on the Genetic PID Algorithm

Cited by 5 publications

References 10 publications

Water level control of nuclear steam generators using intelligent hierarchical autonomous controller

Water level control of nuclear steam generators using intelligent hierarchical autonomous controller

Speed Control of Secondary Regulation Heave Compensation Based on Fuzzy PID

Modeling and Simulation of a Turbine Access System with Three-Axial Active Motion Compensation

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