Design and experimental validation of an optimal fractional order controller for vibration suppression

2016 ◽  
Author(s):  
Cristina I. Muresan ◽  
Silviu Folea ◽  
Eva H. Dulf ◽  
Ovidiu Prodan
Keyword(s):  
Fractional Order ◽  
Experimental Validation ◽  
Vibration Suppression ◽  
Fractional Order Controller

Variable fractional order sliding mode control for seismic vibration suppression of building structure

2021 ◽  
pp. 107754632110396
Author(s):  
Chunxiu Wang ◽  
Xingde Zhou ◽  
Yitong Jin ◽  
Xianzeng Shi
Keyword(s):  
Sliding Mode Control ◽  
Fractional Order ◽  
Vibration Suppression ◽  
Control Method ◽  
Sliding Mode ◽  
Building Structure ◽  
Seismic Excitations ◽  
Mode Control ◽  
Fractional Order Controller ◽  
Control Output

Constant fractional order vibration control strategy has been one of research hotspots in recent decades. However, the variable fractional order control method is seldom concerned up to now. In this article, a novel variable fractional order sliding mode control (VOSMC) method is proposed to suppress the responses of building structure caused by seismic excitations, including El Centro, Hachinohe, Northridge, and Kobe earthquakes. Based on the proposed variable fractional order sliding mode surface, the control law of VOSMC is presented. The global asymptotic stability of the control system is analyzed and proved by utilizing variable fractional order Lyapunov stability theorem. Besides, the corresponding constant fractional order sliding mode control (COSMC) method is also given. The control effects of VOSMC and COSMC methods are discussed by four performance indices. Finally, the utilizability and reasonability of the proposed control method is verified by using two examples (include two-story and five-story shear buildings). Compared with the COSMC method, the proposed variable fractional order controller not only has a lesser control output, but also has a higher utilization of the output, which is conducive to energy saving.

scholarly journals Fractional-Order Water Level Control Based on PLC: Hardware-In-The-Loop Simulation and Experimental Validation

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2928 ◽  
Author(s):  
Arkadiusz Mystkowski ◽  
Andrzej Kierdelewicz
Keyword(s):  
Fractional Order ◽  
Pid Control ◽  
Experimental Validation ◽  
Water Tank ◽  
Hardware In The Loop ◽  
Level Control ◽  
Integer Order ◽  
Gain Margin ◽  
Fractional Order Controller ◽  
Fractional Order Pid

An industrial-oriented water tank level control system with PLC- and Simulink-based fractional-order controller realizations is presented. The discrete fractional-order and integer-order PID implementations are realized via the PLC and Simulink simulator. The benefits of the fractional-order PID compared to the integer-order PID control are confirmed by the hardware-in-the-loop (HIL) simulations and experiments. HIL simulations are realized using real-time communication between PLC and Simulink. The fractional-order controller is obtained for a desired phase/gain margin and validated via HIL simulations and experimental measurements.

scholarly journals Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm

2021 ◽  
Vol 4 (3) ◽  
pp. 50
Author(s):  
Preeti Warrier ◽  
Pritesh Shah
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Power Converters ◽  
Buck Converter ◽  
Optimization Techniques ◽  
Superior Performance ◽  
Computational Time ◽  
Optimization Approach ◽  
Response Characteristics ◽  
Fractional Order Controller

The control of power converters is difficult due to their non-linear nature and, hence, the quest for smart and efficient controllers is continuous and ongoing. Fractional-order controllers have demonstrated superior performance in power electronic systems in recent years. However, it is a challenge to attain optimal parameters of the fractional-order controller for such types of systems. This article describes the optimal design of a fractional order PID (FOPID) controller for a buck converter using the cohort intelligence (CI) optimization approach. The CI is an artificial intelligence-based socio-inspired meta-heuristic algorithm, which has been inspired by the behavior of a group of candidates called a cohort. The FOPID controller parameters are designed for the minimization of various performance indices, with more emphasis on the integral squared error (ISE) performance index. The FOPID controller shows faster transient and dynamic response characteristics in comparison to the conventional PID controller. Comparison of the proposed method with different optimization techniques like the GA, PSO, ABC, and SA shows good results in lesser computational time. Hence the CI method can be effectively used for the optimal tuning of FOPID controllers, as it gives comparable results to other optimization algorithms at a much faster rate. Such controllers can be optimized for multiple objectives and used in the control of various power converters giving rise to more efficient systems catering to the Industry 4.0 standards.

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