In this chapter, a proportional-integral derivative (PID)-type fuzzy logic controller (FLC) is proposed for a discrete-time system in order to track a desired trajectory generated using the flatness property. In order to improve the performance of the proposed controller, genetic algorithm (GA) based on minimizing the integral of the squared error (ISE) is used for tuning the input and output P...

An observer based adaptive PID controller with micro genetic algorithm (MGA) tuning its parameters is proposed in this paper. The task of the controller is to track the desired trajectory of a nonlinear system as best as it could. The proposed adaptive PID controller consists of 3 components including the PID controller, the control compensating for the external disturbance and the modeling err...

With the aim to improve the steel rolling process performance, this research presents a novel hybrid system for selecting the best parameters for tuning in open loop a PID controller. The novel hybrid system combines rule based system and Artificial Neural Networks. With the rule based system, it is modeled the existing knowledge of the PID controller tuning in open loop and, with Artificial Ne...

In this paper we introduce the different types of the Fractional Order PID controllers and presented some of its application to Industry and robotics Key-Words: Fractional Order Calculus, Differintegration, Fractional Order Controllers, Control Theory, Control Systems, PID controller, tuning, auto-tuning.

This paper proposes performance tuning methods for a PID controller for a robotic manipulator. The design procedures of an inverse optimal PID control method employed to assure extended disturbance input-to-state stability (ISS) are suggested. The performance tuning methods for an inverse optimal PID control are derived from the performance limitation and the bounds of the state vector. Also, t...

In this paper research results on control quality improvement by the use of particle swarm optimization algorithm (PSO) was described as an alternative for the classic PID tuning. For the problem of multi-rotor flying robot control, test studies were conducted using a specially for this purpose designed and performed measuring testbed. This solution allows to obtain the angle as a feedback in f...

The problem of robust multiloop proportional-integral-derivative (PID) controller tuning for multivariable processes is addressed in this paper. The problem is formulated in the H∞ control framework, and the controller parameters are determined based on both user-specified performance and robust stability. The PID settings are computed by solving a nonlinear optimization problem with matrix ine...

Abstract— This paper presents the model of a static VAR compensator (SVC) which is controlled externally by a Proportional Integral Differential (PID) controller for the improvements of voltage stability and damping effect of an on line power system. The PID controller parameters has been selected by using Ziegler-Nichols tuning rule method. Both single phase and three phase faults have been co...

This article presentes a PID controller for two area power system equipped with both automatic generation control and automatic voltage regulator loops. The research has been done to control two area power systems with PSO optimized self-tuning PID controller. The comparison between different controllers and the suggested PSO based controller illustrates that the proposed controller can generat...

Many real time processes have complex, uncertain and nonlinear dynamics. Boilers are nonlinear, time varying, multi-input multi-output (MIMO) systems, whose states generally vary with operating conditions. The major problem in controlling that system is that its drum water pressure and steam flow dynamics include an integrator that results a critically stable behavior. Conventional controller p...