Results 271 to 280 of about 4,128,546 (309)

Gain-Scheduled Two-Loop Autopilot for an Aircraft

Journal of Dynamic Systems, Measurement, and Control, 2012
We present a new method to compute output gain-scheduled controllers for nonlinear systems. We use structured H∞-control to precompute an optimal controller parametrization as a reference. We then propose three practical methods to implement a control law which has only an acceptable loss of performance with regard to the optimal reference law.
Hosseini-Ravanbod, Laleh, Noll, Dominikus   +1 more
openaire   +2 more sources

Active Gain Scheduling: A Collaborative Control Strategy between LPV Plants and Gain Scheduling Controllers

2007 IEEE International Conference on Control Applications, 2007
We propose a new collaborative control strategy between time varying design parameters of the plant and the feedback controller. As the feedback control law we adopt the LMI based gain scheduling control scheme to guarantee the closed-loop L2 gain performance against the variation of the time varying parameter of the control object.
openaire   +1 more source

Nonlinear PI and gain scheduling

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998
A general procedure is proposed for nonlinear IMC and PID controllers for single-input single-output nonlinear systems. The nonlinear IMC and PID controllers are designed to force the system output to track a desired linear closed-loop trajectory, which is tunable via a single, physically meaningful parameter: the trajectory filter time constant.
null Jiawen Dong, C.B. Brosilow
openaire   +1 more source

Gain scheduling the LPV way

Proceedings of 35th IEEE Conference on Decision and Control, 2002
Some nonlinear control problems in industry are successfully solved using gain-scheduling, a method primarily based on intuition from control design for linear systems. Linear parameter varying system (LPV) theory, introduced by Shamma et al. (1992), can be used to simplify some of the interpolation and realization problems associated with conventional
A. Packard, M. Kantner
openaire   +1 more source

Interpolation methods for gain scheduling

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2002
Synthesis of gain scheduled controllers often requires that a parameter-varying controller be generated from a finite set of linear time-invariant controllers. We propose interpolation methods for this task with the property that stability of the linearized closed-loop system is preserved for each fixed value of the scheduling parameter.
D.J. Stilwell, W.J. Rugh
openaire   +1 more source

Design of Fuzzy Gain Schedulers

1998
The design of a Takagi-Sugeno fuzzy controller (TSFC) is possible only if a Takagi-Sugeno fuzzy model (TSFM) of the open loop nonlinear system under control is provided. A survey of the relevant publications in this field reveals that a TSFM is either given for granted, or is identified on the basis of input-output data.
R. Palm, D. Driankov
openaire   +1 more source

Analytical Framework for Gain Scheduling

1990 American Control Conference, 1990
A framework for the design of `idealized' gain-scheduled controllers for nonlinear systems is discussed Based on this framework questions are raised, and implications are drawn for `practical' design situations.
openaire   +1 more source

Robust gain-scheduling automatic steering control of unmanned ground vehicles under velocity-varying motion

, 2019
Jinghua Guo, Yugong Luo, Keqiang Li
semanticscholar   +1 more source

Robust gain scheduling baseline controller for floating offshore wind turbines

Wind Energy, 2019
Frank Lemmer (né Sandner), Wei Yu, D. Schlipf, P. Cheng   +3 more
semanticscholar   +1 more source

A Gain-Scheduling Driver Assistance Trajectory-Following Algorithm Considering Different Driver Steering Characteristics

IEEE transactions on intelligent transportation systems (Print), 2017
Jinxiang Wang, Guoguang Zhang, Rongrong Wang, Scott Schnelle, Junmin Wang   +4 more
semanticscholar   +1 more source