PID controllers have become very popular among the control engineers for its robustness, cost-effectiveness and simple structure. But tuning the PID parameters could be a complex task in some systems. Hence, several conventional and intelligent algorithms have been proposed to achieve the desired specification .Among the intelligent algorithms, widely popular and accepted algorithms are metaheu...

In this paper, a nonlinear PID (NLPID) controller is used to replace traditional overcome the influence of factors in computer numerical control (CNC) system. A particle swarm optimization based on generalized opposition-based learning (G-PSO) algorithm proposed optimize NLPID controller. The convergence speed and global ability (PSO) are improved by introducing learning. natural selection muta...

This article presents the design and real-time implementation of an optimal collaborative approach to obtain desired trajectory tracking two Degree Freedom (DOF) pantograph end effector position. The proposed controller constructively synergizes Proportional Integral Derivative (PID) Linear Quadratic Regulator (LQR) by taking their weighted sum. Particle Swarm Optimization (PSO) algorithm is op...

this paper presents a new optimization algorithm to design an optimal proportional, integral, derivative (pid) controller in hydro-turbine generator governor for damping output frequency oscillations. in this research, we utilize a stochastic and optimal based pid controller to control frequency-response of the hydro turbine. the proposed algorithm is employed to design an optimal pid controlle...

In order to optimize the parameters of fractional order PID controller of complex system, an adaptive particle swarm optimization (PSO) method is proposed to realize the parameters adjustment. In this algorithm, the tuning particle population is divided into three subgroups firstly, and through introducing the swarm-aggregation degree factor and the evolution speed factor of particle, dynamical...

The Proportional Integral Derivative (PID) controller is the most adopted controllers for industrial plants, due to its simplicity and satisfactory performances for a wide range of processes. It should be noted that the accurate and efficient tuning of parameters such controllers is very important. On the other hand, industrial plants, such as power systems, usually have some features, such as ...

In this paper, the nonlinear systems with time delay network control is discussed transmission delays and packet dropouts for networked control system with random time delay are analyzed. In this paper, online delay estimation method to obtain the delay value, the delay value is an input parameter of fuzzy adaptive PID controller, fuzzy PID temporal adjustment based on genetic algorithm and Par...

Networked control system (NCS) for industry process control recently has been paid much attention to. A fact that there exists networked-induced time delay in NCS, and the traditional proportional integral derivative (PID) controllers are still used broadly in industrial sites as their strong adaptability and robustness is well known. Therefore, the control engineers must face an unavoidable pr...

Parameter identification of robot manipulators is an indispensable pivotal process of achieving accurate dynamic robot models. Since these kinetic models are highly nonlinear, it is not easy to tackle the matter of identifying their parameters. To solve the difficulty effectively, we herewith present an intelligent approach, namely, a heuristic particle swarm optimization (PSO) algorithm, which...