In this paper we present a Takagi-Sugeno (T-S) model for Quadrotor modelling. This model is developed using multiple model approach, composed of three locally accurate models valid in different region of the operating space. It enables us to model the global nonlinear system with some degree of accuracy. Once the T-S model has been defined it is claimed to be relatively straightforward to desig...

s--By making the controller adaptive, ideal performance and granted stability of the closed loop system can be achieved for even a large change in system parameters. In the present study, adaptive controllers based on minimum variance, pole placement and linear quadratic techniques are investigated. The controller based on minimum variance is noise sensitive and actuator voltage changes sign af...

This paper presents a hybrid scheme for the control of active and reactive powers using the direct vector control with stator flux orientation (SFO) of the DFIG. The hybrid scheme consists of Fuzzy logic, Reference Signal Tracking (F-RST) controllers. The proposed (F-RST) controller is compared with the classical Proportional-Integral (PI) and the Polynomial (RST) based on the pole placement th...

In this paper, several relations between pole placement (PP) controller and unconstrained predictive controller are investigated. The placement of poles at certain positions leads to various types of time optimal control and has a direct relation to the choice of minimum control and output horizons for stabilising MPC. On the other hand, a predictive control method for linear systems is derived...

This paper present the results of attitude, velocity, heave and yaw controller design for UTM autonomous model scaled helicopter using identified model of vehicle dynamic from parameterized state-space model proposed by Mettler (2000) with quasisteady attitude dynamic approximation (6 DOF model). Multivariable state-space control methodology such as pole placement was used to design the linear ...

Genetic algorithms are one of the most well-known evolutionary computing methods using heuristic searches that mimic the process of natural evolution. These methods provide very useful results to optimization and search problems. There are several factors which have particular impact on algorithm to be successful. That means correct population initialization, sufficient simulation time and opti...

Total Control Effort Abstract—A new Feed-Forward/Feedback Generalized Minimum Variance Pole-placement Controller to incorporate the robustness of classical pole-placement into the flexibility of generalized minimum variance self-tuning controller for Single-Input Single-Output (SISO) has been proposed in this paper. The design, which provides the user with an adaptive mechanism, which ensures t...

A novel intelligent multiple-controller framework incorporating a fuzzy-logic based switching supervisor is presented for adaptive control of non-linear systems . The proposed methodology provides the designer with an automated choice of using either: a conventional Proportional-Integral-Derivative (PID) controller, a PID structure based pole (only) placement controller, or a PID structure base...