In this paper, a hybrid particle swarm optimization genetic algorithm LQR controller is used on quarter car model with an active suspension system. The proposed control utilized to overcome the shortcoming that weight matrix Q and R determined by experience in traditional method. method makes it possible achieve optimal effect. A full-order state observer observe of suspension. road input are p...

In this paper, an intelligent controller is applied to control omni-directional robots motion. First, the dynamics of the three wheel robots, as a nonlinear plant with considerable uncertainties, is identified using an efficient algorithm of training, named LoLiMoT. Then, an intelligent controller based on brain emotional learning algorithm is applied to the identified model. This emotional l...

Aiming at the negative vibration effect caused by increased unsprung mass of hub motor-air suspension (HM-AS) vehicle and unbalanced magnetic force (UMF) motor, a linear quadratic regulator (LQR) air control strategy based on genetic algorithm is proposed. Considering coupling road surface excitation UMF, model HM-AS established. Then, according to optimal theory algorithm, LQR controller desig...

This paper provides some information and numerical tests that aims to investigate the use of a Fuzzy Controller applied to control systems. Some advantages are reported regarding the use of this controller, such as the characteristic ease of implementation due to its semantic feature in the statement of the control rules. On the other hand, it is also hypothesized that these systems have a lowe...

Design of a robust controller via single objective constrained optimization using differential evolution (DE) is presented in this paper. A set robust feedback controller gain is optimized based on plant’s linear model having structured parametric uncertainty such that the closed-loop system would have the maximum stability radius. A wedge region is assigned as the optimization constraint to sp...

In this paper modeling of an inverted pendulum is done using Euler – Lagrange energy equation for stabilization of the pendulum. The controller gain is evaluated through state feedback and Linear Quadratic optimal regulator controller techniques and also the results for both the controller are compared. The SFB controller is designed by Pole-Placement technique. An advantage of Quadratic Contro...

The continuous time Linear Quadratic Regulator (LQR) theory has been implemented in the present work for the design of optimal Proportional Integral(PI) controller for the frequency response enhancement of multi area interconnected power system . The PI controller gains as proportional gain (Kp) and integral gain (Ki) are formulated as the optimal state-feedback gains, corresponding to the stan...