Optimal Design and Simulation for PID Controller Using Fractional-Order Fish Migration Optimization Algorithm

Guo, Baoyong; Zhuang, Zhongjie; Pan, Jeng‐Shyang; Chu, Shu-Chuan

doi:10.1109/access.2021.3049421

Cited by 45 publications

(24 citation statements)

References 57 publications

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“…In ( 10) and ( 11), the result of Δu(k) represents the position change of the controlled unit in the control process of the PID algorithm. Only the recent errors are sampled [30]. Figure 3 presents the design concept of optimizing the PID control algorithm through position and incremental algorithms.…”

Section: D(s) � U(s) E(s)mentioning

confidence: 99%

Application of PID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot

Kang

Wang

2022

Mathematical Problems in Engineering

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The purpose is to improve the effect of substation inspection and ensure the safety of power consumption in human society. First, this work discusses the current substation inspection-oriented robot path planning situation. Then, the proportional integration differentiation (PID) control algorithm is introduced and optimized. Ant colony algorithm (ACA) is improved. The substation inspection-oriented RPP model is designed based on the PID algorithm and optimized ACA (the proposed model is denoted as the Ant-PID algorithm). Afterward, the Ant-PID algorithm is compared with the PID control algorithm and ACA. The results show that the longest robot path of the proposed Ant-PID algorithm in different data sets is about 28 m. The shortest is about 26 m, and the number of optimal solutions is maintained at about 45–49. By comparison, the average response time of the PID algorithm is about 25 s to 28 s. The shortest response time of ACA is about 24 s, the shortest average response time is about 27 s, and the longest is about 30 s. The average response time of the proposed ant PID model is about 17 s to 20 s. Therefore, the Ant-PID algorithm can improve the substation inspection robots’ path planning effect. The research results provide technical support for improving the effect of substation inspection and contribute to social power transmission.

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Section: D(s) � U(s) E(s)mentioning

confidence: 99%

Application of PID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot

Kang

Wang

2022

Mathematical Problems in Engineering

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“…The integral controller output is a continuous sum of input fluctuations. When the error signal does not change, the integral controller maintains the output state as it was before the change in the input data [17].…”

Section: Pi Controllermentioning

confidence: 99%

Design intelligent maximum power point tracking for photovoltaic at Universitas Airlangga

Setiadi

Firmansyah

Megantoro

et al. 2022

IJEECS

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Rooftop photovoltaic (PV) plant is one ot the independent electricity that us favorable in recent year. Rooftop PV plant can be used as the source of smart building as well as fast charging station. Although rooftop PV plant could provide clean and sustainable energy from solar, they also come with disadvantages in term of intermittent power output. This intermittent power output is due to the uncertainty of the source. To tackle this problem, maximum power point tracking method is essential. Maximum power point tracking (MPPT) method can be used to extract maximum power from the solar cell in all conditions. This paper proposes an intelligent method for designing DC-DC MPPT based on <span>fruit fly optimization</span> (FFO) on realistic rooftop PV plant. Practical rooftop PV plant in Universitas Airlangga is employed as the testing system. The proposed method's efficacy is evaluated using time domain simulation. According to the simulation results, the proposed method can significantly extract power from PV.

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“…A novel optimization algorithm is tested and compared on benchmark functions are an integral part of performance evaluation. In this section, 12 standard test functions chosen from the benchmark set in the optimization literature to investigate, analyze, and demonstrate the effectiveness of the IMSSA [36,37]. These benchmark functions have different characteristics that can effectively evaluate the global search performance and local search performance of the algorithm.…”

Section: Validation and Comparisonmentioning

confidence: 99%

Optimization and design of fractional-order PID controller based on an improved sparrow search algorithm

Fang

Yuan

et al. 2022

Preprint

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Compared with the classical integer-order PID controller, fractional-order [[EQUATION]] (FOPID) controller is more difficult to adjust due to the introduction of two additional parameters. Aiming at the problem, a novel improved sparrow search algorithm, abbreviated as IMSSA, is proposed to perform the selection of optimal parameters for the FOPID controller. The algorithm, integrating strategies of adaptive exponential weighting factor and the stochastic mutation, enhances the searching efficiency and convergence performance of the sparrow search algorithm (SSA). The results carried on 12 benchmark functions show that the IMSSA has excellent performance in terms of convergence speed, accuracy and robustness compared with other popular algorithms, proving the effectiveness of the improved strategies. Finally, the feasibility of the IMSSA algorithm for parameter tuning of the FOPID controller is further verified by two simulation cases. The IMSSA proposed in this paper offers a novel approach to apply intelligent algorithms to solve fractional-order control problems.

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Optimal Design and Simulation for PID Controller Using Fractional-Order Fish Migration Optimization Algorithm

Cited by 45 publications

References 57 publications

Application of PID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot

Application of PID Control and Improved Ant Colony Algorithm in Path Planning of Substation Inspection Robot

Design intelligent maximum power point tracking for photovoltaic at Universitas Airlangga

Optimization and design of fractional-order PID controller based on an improved sparrow search algorithm

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