Advanced Control of Parabolic Troughs

Camacho, Eduardo F.; Berenguel, Manuel; Rubio, Francisco; Martı́nez, Diego

doi:10.1007/978-0-85729-916-1_5

Cited by 2 publications

(2 citation statements)

References 94 publications

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“…This term represents the transfer function that models the resonance mode of system while the remaining part represent the low order transfer function of the system. As the purpose of the study is to capture the dynamics of the system and to test/suggest a relevant control schemes, so in line with suggestion by Camacho et al [35], [36] equation (29) needs to be approximated to a standard form and then term 𝑅(𝑠) can be The remaining transfer function can capture the key system dynamics and the impact of disturbances such that it can assist to design high-performance control systems. Thus, the transfer function relating the outlet HTF temperature with HTF flow rate is given as:…”

Section: Derivation Of Transfer Functionmentioning

confidence: 99%

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Dynamic Modeling and Controller Design for a Parabolic Trough Solar Collector

et al. 2023

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The current study unveils an analytical dynamic model of a parabolic trough solar collector (PTSC) and subsequently presents the process to derive the transfer function of the PTSC system. The presented generalized transfer function derivation can be utilized to relate different operating parameters with the output temperature for any PTSC module. Presented model and derivation are applied on a PTSC module tested by Sandia National Laboratory, USA and a transfer function relating the outlet temperature of heat transfer fluid (HTF) with flowrate is derived. PID controller is designed to maintain the HTF outlet temperature by manipulating the flowrate. Controller tuning is performed via nature-inspired algorithms (NIAs) which is rare in the context of the control systems for PTSCs. Two NIAs namely Self-adaptive Differential Evolution (SaDE) and African Vultures Optimization Algorithm (AVOA) were used for tuning with minimization of integral of time-weighted absolute error (ITAE) as an objective. It is concluded that SaDE-PID tuned controller outperforms AVOA-PID tuned controller with lower ITAE and in terms of other controller characteristics. Also, the designed controller is examined on various grounds as transient response characteristics and performance indexes. This completes the investigation of the integrity of the presented model, process, and controller.

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Section: Derivation Of Transfer Functionmentioning

confidence: 99%

“…that shows the block diagram of a PID controller.The mathematical description of PID controller can be given as:𝐺 𝑃𝐼𝐷 (𝑡) = 𝐾 𝑝 𝑒(𝑡) + 𝐾 𝑖 ∫ 𝑒(𝐺 𝑃𝐼𝐷 (𝑠) = 𝐾 𝑝 𝐸(𝑠) + 𝐾 𝑖 𝐸(𝑠) 𝑠 + 𝐾 𝑑 𝑠𝐸(𝑠) (s-domain)(36) …”

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confidence: 99%