A hybrid sliding mode control based on a nonlinear PID surface for nonlinear chemical processes

Vásquez, Mateo; Yanascual, Joseline; Herrera, Marco; Prado, Alvaro; Camacho, Oscar

doi:10.1016/j.jestch.2023.101361

Cited by 9 publications

(3 citation statements)

References 21 publications

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“…Vásquez et al (Vásquez et al 2023) developed the PID-based sliding mode controller for a nonlinear chemical plant. The suggested model design is a nonlinear system using the reaction curve identification method.…”

Section: System Control With Pid Controllermentioning

confidence: 99%

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

Mohindru

2024

Artif Intell Rev

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The chemical production process is tedious due to the integration of different types of equipment and variables. Designing the controller is crucial in the chemical industry due to the interactive and non-linear system behaviour. An intelligent autonomous controller can improve the operating efficiency of the industry. Although several controllers have been developed, different system failures are frequently reported. Hence, controllers such as proportional integral derivative (PID), fuzzy logic controller (FLC), and hybrid fuzzy PID (F-PID) applied in the chemical industries are critically reviewed in the paper. Initially, the PID controller-based approaches are reviewed for different purposes in the chemical industry. After that, the FLC-based controllers-based papers are reviewed. In order to satisfy the issues in both controllers, the H-PID controllers have been reviewed. This review paper will provide an effective solution for operation control in the chemical industry under different operating conditions.

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Section: System Control With Pid Controllermentioning

confidence: 99%

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

Mohindru

2024

Artif Intell Rev

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“…The performance of the process response depends on the chosen sliding surface. How the SMC works depends on the sliding surface, and changing the sliding surface can change how well the SMC works [3,15,36,37]. The sliding surface selected from [12], shown in Equation (20), is employed:…”

Section: Controller Synthesismentioning

confidence: 99%

An Internal Model Based—Sliding Mode Control for Open-Loop Unstable Chemical Processes with Time Delay

et al. 2023

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This paper presents a dynamic sliding mode control (DSMC) for open-loop unstable chemical or biochemical processes with a time delay. The controller is based on the sliding mode and internal model control concepts. The proposed DSMC has an internal P/PD controller to provide systems with disturbance rejection. An identification method approximates the open-loop unstable nonlinear process to a first-order delayed unstable process (FODUP). The reduced-order model(FODUP) is used to synthesize the new controller. The performance of the controller is stable and satisfactory despite nonlinearities in the operating conditions due to set-point and process disturbance changes. In addition, the performance analysis of the control schemes was evaluated based on various indices and transient characteristics, including the integral of squared error (ISE), the total variation of control effort (TVu), the maximum overshoot (Mp), and the settling time (ts). Finally, the process output and the control action for all controllers are compared using the nonlinear process as the real plant.

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“…Despite the availability of various control techniques for stabilizing BnB systems, PID and state feedback (SF) or LQR are often preferred due to their simplicity and robustness against parameter variations [33]- [37]. In [38] for instance, it has been demonstrated via MATLAB simulation that a cascade PID control outperforms a neuralnetwork-based compensator in terms of overshoot and error.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Hybrid PSO-WOA-Based Intelligent PID and State-Feedback Control for Ball and Beam Systems

Ahmad

2023

IEEE Access

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The ball and beam (BnB) system serves as a benchmark in control engineering as it provides a foundational concept applicable to addressing stabilization challenges of various underactuated nonlinear systems. This includes tasks like maintaining the balance of goods carried by mobile robots and controlling the attitude of unmanned aerial vehicles. In this study, the focus is on enhancing control optimization strategies for BnB systems that take into account inherent nonlinearities arising from actuator constraints and state measurements. The work introduces a novel intelligent control approach, termed hybrid PSO-WOA, which combines Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA) to automate optimal parameter search for proportional-integral-derivative (PID) and state feedback (SF) controllers. The collaborative technique between PSO and WOA is formulated to strike a balance between exploration and exploitation phases, and to mitigate premature convergence risks due to the system's complexities. Additionally, three control schemes, namely cascade PID-PID, cascade PID-SF, and cascade PID-observer are introduced, each with tailored cost functions for optimization through the hybrid PSO-WOA algorithm, accommodating both measurable and unmeasurable state scenarios. Simulation results consistently demonstrate the superior performance of the hybrid approach compared to individual PSO and WOA methods, as well as conventional PID and linear quadratic regulator approaches. Notable, the hybrid approach exhibits a significant improvement in error metrics, reducing integral-time absolute error by 18.99%, integral squared error by 35.37%, and steady-state error by 92.86%. This substantial enhancement suggests promising directions for future research in automated control parameter tuning for underactuated nonlinear systems.

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A hybrid sliding mode control based on a nonlinear PID surface for nonlinear chemical processes

Cited by 9 publications

References 21 publications

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

An Internal Model Based—Sliding Mode Control for Open-Loop Unstable Chemical Processes with Time Delay

Modeling and Hybrid PSO-WOA-Based Intelligent PID and State-Feedback Control for Ball and Beam Systems

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