Parameterization of Linear Controllers for Bumpless Switching in Multicontroller Schemes

2004 ◽  
Author(s):  
Joseph Yame ◽  
Michel Kinnaert
Keyword(s):  
Linear Controllers ◽  
Bumpless Switching

Parametrical Synthesis of Linear Controllers in Aperiodical Systems on Basis of Decomposition Approach

2019 ◽  
Vol 12 (4) ◽  
pp. 192
Author(s):  
Sergey Anatolevich Gayvoronskiy ◽  
Tatiana Ezangina ◽  
Maxim Pushkarev ◽  
Ivan Khozhaev
Keyword(s):  
Decomposition Approach ◽  
Linear Controllers

L1 Adaptive Control for Aircraft Air Management System Pressure-Regulating Bleed Valve

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
John Cooper ◽  
Chengyu Cao ◽  
Jiong Tang
Keyword(s):  
Management System ◽  
Control Valve ◽  
Pressure Control ◽  
Adaptive Controller ◽  
System Model ◽  
Flow Control Valve ◽  
L1 Adaptive Control ◽  
System Pressure ◽  
L1 Adaptive Controller ◽  
Linear Controllers

This paper presents an L1 adaptive controller for pressure control using an engine bleed valve in an aircraft air management system (AMS). The air management system is composed of two pressure-regulating bleed valves, a temperature control valve, a flow control valve, and a heat exchanger/precooler. Valve hysteresis due to backlash and dry friction is included in the system model. The nonlinearities involved in the system cause oscillations under linear controllers, which decrease component life. This paper is the unique in the consideration of these uncertainties for control design. This paper presents simulation results using the adaptive controller and compares them to those using a proportional–integral (PI) controller.

An optimized double-integral-sliding-mode-controller for a PV microgrid

2021 ◽  
Vol 40 (5) ◽  
pp. 1011-1031
Author(s):  
Swati Sucharita Pradhan ◽  
Raseswari Pradhan ◽  
Bidyadhar Subudhi
Keyword(s):  
Sliding Mode ◽  
Water Evaporation ◽  
Sliding Mode Controller ◽  
Double Integral ◽  
Reference Tracking ◽  
Content Type ◽  
Integral Sliding Mode ◽  
Highly Nonlinear ◽  
System Output ◽  
Linear Controllers

Purpose The dynamics of the PV microgrid (PVMG) system are highly nonlinear and uncertain in nature. It is encountered with parametric uncertainties and disturbances. This system cannot be controlled properly by conventional linear controllers. H− controller and sliding mode controller (SMC) may capable of controlling it with ease. Due to its inherent dynamics, SMC introduces unwanted chattering into the system output waveforms. This paper aims to propose a controller to reduce this chattering. Design/methodology/approach This paper presents redesign of the SMC by modifying its sliding surface and tuning its parameters by employing water-evaporation-optimization (WEO) based metaheuristic algorithm. Findings By using this proposed water-evaporation-optimization algorithm-double integral sliding mode controller (WEOA-DISMC), the chattering magnitude is diminished greatly. Further, to examine which controller between H8 controller and proposed WEOA-DISMC performs better in both normal and uncertain situations, a comparative analysis has been made in this paper. The considered comparison parameters are reference tracking, disturbance rejection and robust stability. Originality/value WEO tuned DISMC for PVMG system is the contribution.

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