The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for controlling the LPV systems. This method includes the gain-scheduled state-feedback technique and a fuzzy system to calculate the state-feedback gain. The main goal of the control system is to stabilize the system and bring its states to equilibrium points. Linear matrix inequalities calculate feedback gains to stabilize the system. On the other hand, a fuzzy control system also produces a combined signal with the primary controller signal to speed up this operation. Lyapunov’s theory is used to guarantee the control system’s stability. Finally, to evaluate the performance of the proposed control system, the inverted pendulum has been investigated as a case study. The results show that the proposed method has good efficiency and performance.

A new fuzzy robust control for linear parameter- varying systems / Chen, Fenghua; Qiu, Xinguo; Alattas, Khalid; Mohammadzadeh, Ardashir; Ghaderpour, Ebrahim. - In: MATHEMATICS. - ISSN 2227-7390. - 10:18(2022). [10.3390/math10183319]

A new fuzzy robust control for linear parameter- varying systems

Ebrahim Ghaderpour
2022

Abstract

The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for controlling the LPV systems. This method includes the gain-scheduled state-feedback technique and a fuzzy system to calculate the state-feedback gain. The main goal of the control system is to stabilize the system and bring its states to equilibrium points. Linear matrix inequalities calculate feedback gains to stabilize the system. On the other hand, a fuzzy control system also produces a combined signal with the primary controller signal to speed up this operation. Lyapunov’s theory is used to guarantee the control system’s stability. Finally, to evaluate the performance of the proposed control system, the inverted pendulum has been investigated as a case study. The results show that the proposed method has good efficiency and performance.
2022
robust control; fuzzy system; linear parameter-varying systems; linear matrix inequalities; inverted pendulum
01 Pubblicazione su rivista::01a Articolo in rivista
A new fuzzy robust control for linear parameter- varying systems / Chen, Fenghua; Qiu, Xinguo; Alattas, Khalid; Mohammadzadeh, Ardashir; Ghaderpour, Ebrahim. - In: MATHEMATICS. - ISSN 2227-7390. - 10:18(2022). [10.3390/math10183319]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1655288
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