Topic
Open-loop controller
About: Open-loop controller is a research topic. Over the lifetime, 16148 publications have been published within this topic receiving 224014 citations. The topic is also known as: non-feedback controller & open-loop control law.
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10 Jun 2012
TL;DR: The derived TS model shall be used as a basis for the design of fault detection and isolation (FDI) concepts and the small deviations obtained demonstrate the high model quality of the control-oriented TS model.
Abstract: For a horizontal-axis wind turbine (HAWT), a dynamic nonlinear model with four degrees of freedom is derived and transformed into a Takagi-Sugeno (TS) model structure using the sector nonlinearity approach. Thereby, an exact transformation of the nonlinear model is obtained as a weighted combination of linear models. This structure allows for a convenient design of controller and observer structures. The maps of the rotor thrust and torque coefficients can be implemented in the model as look-up tables or, alternatively, as analytical nonlinear functions. Open-loop simulation results of the derived TS model for a reference model turbine are compared to those obtained with the aero-elastic code FAST. The small deviations obtained demonstrate the high model quality of the control-oriented TS model. In future work, the derived TS model shall be used as a basis for the design of fault detection and isolation (FDI) concepts.
52 citations
TL;DR: In this article, the authors presented the design of neural networks compared with the conventional technique, a hysteresis controller for active power filter for three-phase four-wire electric system.
52 citations
15 Jun 2008
TL;DR: In this article, a direct peak dc-link boost voltage PID-like controller in Z-source inverter is presented, which enhances the rejection of disturbance, including the input voltage and load current variation, and solves the problem of local dynamic output feedback stabilization of the serious non-minimum phase system, simplifies the controller design.
Abstract: This paper presents a direct peak dc-link boost voltage PID-like fuzzy controller in Z-source inverter. With this technique a constant peak dc-link voltage can be achieved with an excellent transient performance which enhances the rejection of disturbance, including the input voltage and load current variation, and solves the problem of the local dynamic output feedback stabilization of the serious non-minimum phase system, simplifies the controller design. The small-signal model of the Z-source network and non-minimum phase phenomenon of the control-to-output voltage transfer functions have been discussed in detail. The two zeros (a LHP zero and a RHP zero) of the control-to- peak dc-link voltage transfer function results in the impossible to design a good controller for dc-link voltage with linear strategy. A phase plane is presented to describe the control effort transient response, analyze system stability, and modify the rule matrices of fuzzy controller. The proposed technique was verified on a 20-kW prototype. The experimental results meet the simulation and analysis results very well.
52 citations
TL;DR: An expert system that tunes a proportional-integral-derivative (PID) controller online for a single-input-single-output multiple-lag process with dead time is described.
Abstract: An expert system that tunes a proportional-integral-derivative (PID) controller online for a single-input-single-output multiple-lag process with dead time is described. The expert system examines features of each transient response and the corresponding controller parameters. It determines a new set of controller gains to obtain a more desirable time response. This technique can be used to determine and implement a different set of PID gains for each operating regime, and once in steady state, the system can be used to find optimal parameters for load disturbance rejection. The expert system can be applied to any system of the specified form (aerospace, industrial, etc.) and can be expanded to include additional process models. >
52 citations
TL;DR: In this article, a multi-objective genetic algorithm (MOGA) was proposed to optimize the FOPID controller gains to enhance the ride comfort of heavy vehicles by using magnetorheological (MR) damper in seat suspension system.
Abstract: Recently, fractional-order proportional–integral–derivative (FOPID) controllers are demonstrated as a general form of the classical proportional–integral–derivative (PID) using fractional calculus In FOPID controller, the orders of the derivative and integral portions are not integers which offer more flexibility in succeeding control objectives This paper proposes a multi-objective genetic algorithm (MOGA) to optimize the FOPID controller gains to enhance the ride comfort of heavy vehicles The usage of magnetorheological (MR) damper in seat suspension system provides considerable benefits in this area The proposed semi-active control algorithm consists of a system controller that determines the desired damping force using a FOPID controller tuned using a MOGA, and a continuous state damper controller that calculates the input voltage to the damper coil A mathematical model of a six degrees–of–freedom seat suspension system incorporating human body model using an MR damper is derived and simulated us
52 citations