Due to simple functioning of PID controllers it is widely used in control systems. But tuning the parameters of controller is still a formidable challenge. Also, once the parameters are well tuned satisfactory performance cannot be guaranteed due to process changes and aging effect, so a regular tuning is needed which takes considerable time and may not be practically effective. Most of the con...

Hybrid electric vehicle (HEV) is getting more attention recently because it has no emission of toxic gases which leads to global warming. Now a days, Particle swarm Optimization Gravity Search Algorithm (PSOGSA) is widely used for optimization, because of its faster convergence rate to the optimal minimum value than other optimization techniques. The main aim of this paper is to control the spe...

The paper deals with optimal tuning of a PID controller for a load frequency control of two area Power system using particle swarm optimization (PSO) algorithm. The proposed approach has superior feature, including easy implementation, stable convergence characteristics and very good computational performances efficiency. The main objective is to obtain a stable ,robust and controlled system by...

This study focuses on multi-objective optimization of the PID controllers for optimal speed control for an isolated steam turbine. In complex operations, optimal tuning plays an imperative role in maintaining the product quality and process safety. This study focuses on the comparison of the optimal PID tuning using Multi-objective Genetic Algorithm (NSGA-II) against normal genetic algorithm an...

This paper presents a method for tuning the scaling factors of PID type fuzzy controllers. The method tunes the input scaling factor related to change in error and the output scaling factor related to integral output of PID type of fuzzy controller using model error, error between reference model and process. Fuzzy Controller used is typical fuzzy PID type of controller in which the scaling fac...

This paper presents a computer tool for tuning PID controllers. What makes this tool different to others available in the market is the ability to model the most important load disturbances. The MISO calculated model enables a better tuning of the PID loop, both for the servo and regulatory cases. This is of special interest in the Petrochemical Industry where most of the PID controllers have a...

Frequency deviation is a one of major technical issue of a interconnected power system. In this paper an optimized Proportional-Integral-Derivative (PID) controller ios proposed for controlling the frequency deviation. To optimize the gain values of controller, the Adaptive Particle Swarm Optimization (APSO) algorithm is utilized. Tuning of controllers is done in order to get the gain values or...

A novel tuning method is proposed for the design of fuzzy PID controllers for multivariable systems. In the proposed method, a PID controller is expressed in terms of fuzzy rules, in which the input variables are the error signals and their derivatives, while the output variables are the PID gains. In this manner, the PID gains are adaptive and the fuzzy PID controller has more flexibility and ...

PID controller (which is an acronym to “proportional, integral and derivative”) is a type of device used for process control. As first practical use of PID controller dates to 1890s (Bennett, 1993), PID controllers are spread widely in various control applications till these days. In process control today, more than 95% of the control loops are PID type (Astrom et al., 1995). PID controllers ha...

For SISO (single-input-single-output) models typically used in the process plants, the Internal Model Control (IMC) is shown to supersede the conventional PID controllers and also it becomes much easier to tune than are controllers in a standard feedback control structure. The conventional PID controllers are used in the process plants to a large extent due to their simple structure and its imp...