In this paper, load frequency control in two-area multiunits interconnected hydro thermal power system has been investigated. When an interconnected power system is subjected to heavy load disturbances, the system frequency and tie-line power flow are disturbed which leads to system instability. To stabilize the system frequency oscillations and tie line power flow variations, a PID controller ...

The studies of CNG/gasoline dual-fuel engine system model are relatively few. The design deficiencies of CNG/gasoline dual-fuel engine speed controller exist. In this paper, the design and simulation of CNG/gasoline engine speed controller based on Matlab were put forward. On the basis of reasonable CNG engine model, the digital PID speed controller and adaptive fuzzy PID speed controller model...

The design of the optimal fuzzy fractional-order PID controller is addressed in this work. A multi-objective genetic algorithm is proposed to design rule base and membership functions of the fuzzy logic systems. Three conflicting objective functions in both time and frequency domains have been used in Pareto design of the fuzzy fractional-order PID controller. The simulation results reveal the ...

In this paper, a new model predictive PID controller design method for the slip suppression control of EVs (electric vehicles) is proposed. The proposed method aims to improve the maneuverability and the stability of EVs by controlling the wheel slip ratio. The optimal control gains of PID framework are derived by the model predictive control (MPC) algorithm. There also include numerical simula...

This paper presents the development of an optimal PID controller for vibration control of flexible manipulator structures using particle swarm optimization (PSO) for tuning the PID parameters. The flexible manipulator system is first modeled using finite difference (FD) approach and identification using global search of PSO. The control structure comprises conventional PID controller and an int...

Suspension system plays an imperative role in retaining the continuous road wheel contact for better road holding. In this paper, fuzzy self-tuning of PID controller is designed to control of active suspension system for quarter car model. A fuzzy self-tuning is used to develop the optimal control gain for PID controller (proportional, integral, and derivative gains) to minimize suspension work...

This paper presents a discrete-time state-space methodology for optimal design of digital PID controllers for multivariable analog systems with multiple time delays. The multiple time-delayed multivariable analog systems are formulated in a state-space generic form so that the exact discrete-time state-space model can be constructed. Then, the optimal digital PID controller is designed via a st...

The characteristics of hydraulic turbine governing system change with operating conditions, therefore the governor must be capable of providing satisfactory control under different operating points. For this reason a design method of robust PID controller is proposed. The effects of the characteristic variations are defined as uncertainties in the system model, and based on this model, the requ...

This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a tim...

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...