The tuning of Linear Quadratic regulator (LQR) controllers is a challenge for researchers and plant operators. This paper presents a optimization and comparison of time response specification between Traditional ZN Tuning & Modified ZN Tuning controllers with Linear Quadratic Regulator (LQR) for a speed control of a separately excited DC motor. The goal is to determine which control strategy de...

In this study, a linear quadratic regulator based on the fuzzy logic (LQRF) control algorithm for variable-speed variable-pitch wind turbine was designed. addition, to verify optimum performance of controller, simulations and tunnel tests were conducted. simulation, performances proportional-integral (PI) LQRF algorithms compared in transition region rated power region. test, applicability veri...

In this work, an automatic controller tuning based on metaheuristics is proposed to obtain, in optimized way, the weights of Q and R matrices a quadratic linear regulator applied control current from converters connected grid. The strategy allows obtaining superior performance relation controllers tuned traditionally, without requiring designer spend lot time designs trial error. results show t...

In this paper a multistage fuzzy controller is designed and implemented on the ball and beam system which is a well-known benchmark in the control area because of its nonlinear, unstable non-minimum phase behavior. The most important property of the proposed controller is its simplicity whiles it fully mimics human’s actions for controlling this system. In comparison to classical controllers su...

This paper presents the design and performance evaluation of a terrain following controller for modelscale helicopters. The methodology used to develop the tracking controller amounts to augmenting the discrete state space model of the plant with terrain preview data. The terrain information is obtained by applying a 2D reconstruction technique to the measurements taken by a forward looking las...

This paper presents the application of discrete-time variable structure control with sliding mode based on the ‘reaching law’ method for robust control of a ‘simple inverted pendulum on moving cart’ a standard nonlinear benchmark system. The controllers designed using the above techniques are completely insensitive to parametric uncertainty and external disturbance. The controller design is car...

This paper presents the use of angular position control approaches for a flexible robot manipulator with disturbances effect in the dynamic system. Delayed Feedback Signal (DFS), Linear Quadratic Regulator (LQR) and Proportional-Derivative (PD) controller are the techniques used in this investigation to actively control the vibrations of flexible structure. A constrained planar single-link flex...

In this paper, a novel method for designing a model-based two-degree-of-freedom control structure for high speed position control of large deformable mirrors with voice coil actuators is presented. Both global feedforward and glocal (decentralized accounting for global dynamics) feedback control is included allowing for separately designing tracking performance and disturbance rejection. The mo...

A parallel three degrees of freedom (3-DOF) manipulator known as Maryland manipulator is considered in this paper. The manipulator model considered in this paper is more practical because the offset lengths are not taken zero. The trajectory tracking control of the Maryland manipulator is done using linear–quadratic regulator (LQR) based proportional–integral–derivative (PID) controller. Three ...

A fully active suspension and preview control is utilized to improve ride comfort, which allows increased travelling speed over rough terrain. Previous research is extended and the relevant implementation issues are addressed. Specifically, the methodology of model predictive control has been applied to explicitly address suspension saturation constraints, suspension rate limits, and other syst...