this paper introduces a technique for controlling a class of uncertain chaotic systems using an adaptive fuzzy proportional-integrator-derivative (pid) controller with h∞ tracking performance. the purpose of this work is to achieve optimal tracking performance of the controller using backtracking search algorithm (bsa). bsa, which is a novel heuristic algorithm, has an easy structure with singl...

Inverted pendulum system is a complex, unstable and nonlinear system. In order to make it become an adaptive and robust stable system in control strategy, the mathematical model of linear l-stage inverted pendulum has been established by means of Newton mechanics. The control strategies including classic control methods and modern control methods, such as the PID control algorithm, the pole ass...

This paper deals with control of a DC motor using conventional and unconventional techniques namely the exploitation of artificial neural networks, fuzzy logic controller and PID controller. After studying the performances of the PID controller, the idea is to determine a partial fuzzy or partial neuronal PID controller. For the control of the position of the DC motor, an hybrid controller comb...

A variety of control systems have been proposed for aircraft autopilot systems. Traditional approaches such as proportional controller and conventional PID (CPID) controller are widely used. PID controller has a good static performance especially for linear and time-invariant systems, but a weak dynamic performance and discouraging function on nonlinear, time-varying, and uncertain systems. Fuz...

The paper presents an experimental verification of conventional PI and PID controller design methods. Nine different synthesis techniques were used to control of airflow speed in laboratory model of hotair tunnel, most of them for both PI and PID version. In the first instance the controlled plant was identified in order to obtain a linear mathematical model and then the controllers were design...

In the sewage treatment system, the dissolved oxygen concentration control, due to its nonlinear, time-varying, large time delay and uncertainty, is difficult to establish the exact mathematical model. While the conventional PID controller only works with good linear not far from its operating point, it is difficult to realize the system control when the operating point far off. To solve the ab...

With the complexity increase in industrial production process, the traditional ProportionIntegration-Differentiation (PID) control can not meet the requirements of the control system performance. Because neural network has the ability of adaptive, self-learning and nonlinear function approximation, control equality of system is improved if it is combined with traditional PID. In the paper, Hopf...

A simple tuning strategy for PID controller design will be proposed in this paper. With the use of single neural estimator (SNE), three control gains of PID controller are not fixed during the control procedure, but will be adjusted on-line such that better output response can be achieved. In this control strategy the exact model of plant will not need to be known and identified. Lastly, two si...

In this paper a simulation model for speed control of Induction Motor with rotor resistance adaptation based on Sensorless field oriented method using PID controller has been developed. A developed model is capable of speed control of motor without sensor. Obtained simulation results are comparable with the nature of high performance motor drive system. Results obtained using developed model wi...

PID control is well known and widely applied in industry and many design algorithms are readily available in the literature. However, systematic design of multi-loop or decentralized PID control for multivariable processes to meet certain objectives simultaneously is still a challenging task. Designing multi-loop PID controllers such that the process variables satisfy the generalized covariance...