In this paper, a new approach to design a robust gain scheduled linear parameter varying (LPV) PID controller with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller and Smith predictor (using the known par...

This paper provides design and implementation of a DC-DC boost converter control system by using gain scheduling PI-controller to achieve stable regulated output voltage with improved dynamic performance. The proposed controller parameters are obtained from system output response based on step input signal. A test step input is applied to the system and the three parameters of the plant are obt...

This paper presents investigations into the development of H∞ controller with pole clustering based on LMI techniques to control the payload positioning of INTECO 3D crane system with very minimal swing. The linear model of INTECO 3D crane system is obtained using the system identification process. Using LMI approach, the regional pole placement known as LMI region combined with design objectiv...

This paper address a novel method for nonholonomic Wheeled Mobile Robot (NWMR) trajectory tracking using a hybrid controller. In the essential of the proposed scheme, hybrid algorithm includes fuzzy logic based Regulation, Pole-Placement and Tracking (F-RST). The hybrid controller easily track the reference trajectory and linearize the nonlinear behavior of robot under the influence of uncertai...

It is shown in this paper that based on identified discrete-time models a robust digital linear controller can be designed using the pole placement method combined with sensitivity function shaping in the frequency domain. Two different design techniques are presented. The first one is based on the shaping of the sensitivity functions using the fixed parts in the controller and the auxiliary po...

Dynamic Circuit Specialization is used to optimize the implementation of a parameterized application on an FPGA. Instead of implementing the parameters as regular inputs, in the DCS approach these inputs are implemented as constants. When the parameter values change, the design is reoptimized for the new constant values by reconfiguring the FPGA. This allows faster and more resource-efficient i...

The effect of intelligent semi-active thermal exchange-fuzzy controller in structural rehabilitation by attenuating seismic responses of structural systems is investigated. In the suggested control system, MR dampers and sensors are employed as a semi-active controller. Resultant control forces of MR damper are administrated by providing external voltage supply, during the earthquakes and high ...

This paper describes the use of a multiobjective genetic algorithm for robust motion controller design. Motion controller structure is based on a disturbance observer in an RIC framework. The RIC approach is presented in the form with internal and external feedback loops, in which an internal disturbance rejection controller and an external performance controller must be synthesised. This paper...

where P,(s), P2(s) and Q(s) are polynomials, are called quasirational distributed systems (QRDS). They are encountered in processes modeled by hyperbolic partial differential equations. QRDS can have an infinity of right half-plane zeros which causes large phase lags and can result in poor performance of the closed-loop system with PID controllers. Theory on the asymptotic location of zeros of ...

An optimal semi-active Cuckoo- Fuzzy algorithm is developed to drive the hydraulic semi-active damper for effective control of the dynamic deformation of building structures under earthquake loadings, in this paper. Hydraulic semi-active dampers (MR dampers) are semi active control devices that are managed by sending external voltage supply. A new adaptive fuzzy logic controller (FLC) is introd...