A hybrid sliding mode controller approach for level control in the nuclear power plant steam generators

Espin, Jorge; Estrada, Sebastian; Benítez, Diego S.; Camacho, Oscar

doi:10.1016/j.aej.2022.08.046

Cited by 15 publications

(6 citation statements)

References 37 publications

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“…Furthermore, the computational intensity required by fuzzy logic systems, particularly in applications on a larger scale, stands as a substantial concern. This is especially pertinent in scenarios where real-time processing and responsiveness are crucial [22].…”

Section: Challenges and Advancements In Fuzzy Logic Systemsmentioning

confidence: 99%

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

Abdrakhmanov,

Berkimbayev,

Seitmuratov

et al. 2024

IJACSA

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In an era characterized by the growing significance of energy-efficient and human-centric environmental control systems, this research endeavors to investigate the efficacy of a Fuzzy Proportional-Integral-Derivative (PID) control approach for temperature regulation within Heating, Ventilation, and Air Conditioning (HVAC) systems. The study leverages the adaptability and robustness of fuzzy logic to dynamically tune the PID controller's parameters in response to changing environmental conditions. Through comprehensive simulations and comparative analyses, the research showcases the superior performance of the proposed fuzzy PID control system in terms of rapid response, overload avoidance, and minimal steady-state error, particularly when contrasted with conventional PID control and model predictive control (MPC) methodologies. Furthermore, the research extends its scope to assess the control system's resilience in the face of significant load variations, affirming its practical applicability in real-world HVAC scenarios. Beyond its immediate implications for HVAC systems, this research underscores the broader potential of fuzzy PID control in enhancing control precision and adaptability across various domains, including robotics, industrial automation, and process control. By advocating for future research endeavors in optimizing fuzzy membership functions, implementing real-time solutions, and exploring multi-objective optimization, among other avenues, this study seeks to contribute to the ongoing discourse surrounding advanced control strategies for achieving energy-efficient and human-centric environmental regulation.

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Section: Challenges and Advancements In Fuzzy Logic Systemsmentioning

confidence: 99%

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

Abdrakhmanov,

Berkimbayev,

Seitmuratov

et al. 2024

IJACSA

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“…To minimize the error, it makes sense to formulate it as a differential equation. The error equation in (22), when its first and second derivatives are taken, looks like this: (41) When equations ( 17) and ( 19) are substituted into equation (41), and 𝑢 𝑝 is substituted as in (24), we get: 29), then 𝑒(𝑡) is zero. According to Lyapunov's stability theorem, a system is asymptotically stable if there is a scalar function 𝑉(𝑡) that is real, continuous, and has continuous first partial derivatives with 𝑉 ̇(𝑡) < 0 for all 𝑡 ≠ 0, Assume 𝑘 𝑝 𝜆>0 and define the Lyapunov function V as: 𝑉(𝑒, 𝑒, ̇𝜃1 , 𝜃 2 , 𝜃 3 ) = (45) Thus, the time derivative of V is negative semidefinite rather than negative definite.…”

Section: Stability Analysismentioning

confidence: 99%

“…The suggested method stabilizes the system in the face of disturbances and reference changes; in each test run, the system reaction shows negligible overshoot and slowly rises to the required water level. For disturbance rejection and set-point tracing, the performance obtained with the suggested strategy was suitable [24]. This paper applies the SMC based upon linear extended state observer (SMC-LESO) to the problem of controlling the water level in a drum, thereby combining the benefits of the two approaches.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System

Manna,

Singh,

Ghadi

et al. 2023

IEEE Access

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Liquid level control is a fundamental aspect employed across various industries, where the precise regulation of liquid levels and flow rates is of utmost importance. The Proportional-integral-derivative (PID)controller is widely employed but in practice, the operation of a PID may not always align with the desired outcome due to various factors such as system dynamic behavior, model uncertainties, time-varying parameters, and disturbances. To effectively address these challenges, the article proposes model reference adaptive control (MRAC) based on the Massachusetts Institute of technology (MIT) law feedback PID technique for a two-tank interacting system. The detailed comparative analysis is carried out in MATLAB/Simulink with open loop, PID, and MRAC in respect of time domain specifications. The proposed approach stability is verified using the Lyapunov approach. The robustness of the control mechanism is validated through probabilistic assessment by introducing a bi-level uncertainty framework such as gain mistuning and dynamic system behavior. In the first level, the gain mistuning is accomplished in three aspects i.e., fine-tuned, increased, and decrease gain. In the second level, it is considered that system behavior is dynamic in nature. Based on the findings, the MRAC-PID exhibits superior performance against uncertainties as compared to PID and MRAC with enhanced tracking rapidity, accuracy, and robustness.INDEX TERMS Two-tank interacting system, PID, Model reference adaptive controller (MRAC), MIT law, MRAC-PID.

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“…In ref , a SMC was designed from a FOPDT to control nonlinear systems assuming that the controller robustness will compensate for the modeling errors resulting from linearizing the nonlinear process model. The SMC developed based on a FOPDT model of the actual process has been used for different approaches, as shown in refs , , , and − .…”

Section: Introductionmentioning

confidence: 99%

Dual-Mode Based Sliding Mode Control Approach for Nonlinear Chemical Processes

et al. 2023

Self Cite

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This paper synthesizes a new sliding mode controller (SMC) approach to enhance tracking and regulation tasks by following dual-mode concepts. The new control law consists of two distinct types of operation, using the combination of higher gain to large error signals (transient) and lower gain to small error signals (the region around the set point). The design is presented from a dual-mode (PD–PID) sliding surface operating in concert, fulfilling desired control objectives to ensure stability and performance. Therefore, a new controller was established, and we called it a dual-mode based SMC. The proposed controller is tested by computer simulations applied to two nonlinear processes, a continuous stirred-tank reactor (CSTR) and a mixing tank with a variable dead time. The results are compared with two different alternatives of SMC. In addition, the merits and drawbacks of the control schemes are analyzed using radial graphs, comparing the control methods with various performance measures for set points and disturbances changes. The ITSE (integral of time multiplied by the squared error), TVu (total variation of control effort) indices, Mp (maximum overshoot), and ts (settling time) were the indices used for performance analysis and comparisons.

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A hybrid sliding mode controller approach for level control in the nuclear power plant steam generators

Cited by 15 publications

References 37 publications

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

Probabilistic Bi-Level Assessment and Adaptive Control Mechanism for Two-Tank Interacting System

Dual-Mode Based Sliding Mode Control Approach for Nonlinear Chemical Processes

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