This study deals with one of frequently encountered tasks in process industry – accurate water level control. Proportional Integral Derivative (PID) control is often used for this purpose. Since control parameters of PID controller are fixed and tank system is inherently nonlinear, PID controller should not be used on wider level range. Therefore this study analyzes the effectiveness of water l...

This paper deals with the tuning of fractional PID controllers, in which the orders of the integral and derivative parts, λ and μ, respectively, are fractional. The purpose is to take advantage of the introduction of these two parameters and fulfil additional specifications of design. A new method for tuning the fractional PID controller is proposed in this paper. The basic ideas of this new tu...

In various industrial systems, parameters variation is one of the major problems faced by control engineers now days. To overcome the problem of parameter variations, this paper proposes the hybridization of MIT rule based online tuning of classical PID controllers with Differential Evolution algorithm. The hybridization of two techniques results in the offline as well as online tuning of PID c...

In this study, a modified quantum-behaved particle swarm optimization (MQPSO) approach is proposed to design an optimal fuzzy PID controller for asymptotical stabilization of a pendubot system. In the fuzzy PID controller, parameters are determined by using MQPSO algorithm. The MQPSO method and other PSO methods are then applied to design an optimal fuzzy PID controller in a pendubot system. Co...

Fractional order PID controller has two degrees of freedom more than the integer order PID controller,and it has better control performance. The paper briefly describes the fractional order PID controller, and through Ziegler-Nichols type tuning rules, Padula & Visioli tuning rules and tuning by minimization methods to achieve fractional order PID controllers respectively. Additionally, the Ous...

This paper presents a new strategy for tuning PID controllers based on a fractional reference model. The model is represented as an ideal closed-loop system whose open-loop is given by the Bode’s ideal transfer function. The PID controller parameters are determined by the minimization of the integral square error (ISE) between the time responses of the desired fractional reference model and of ...

We examine a design method for robust stabilizing modified proportional– integral–derivative (PID) controllers for time-delay plants with uncertainty. The PID controller structure is very widely used in industrial applications. However, the plants to which the PID controller is applicable are restricted. Yamada, Hagiwara and Shimizu proposed a design method for robust stabilizing modified PID c...

Numerical Control, NC, machine tool feed servo systems are time-varying, but with the poor anti-interference of conventional PID control it is difficult to achieve satisfactory setting effect. Thus this paper puts forward an online adaptive fuzzy PID setting strategy. Further, in order to improve the control performance of fuzzy PID controllers, we use a genetic algorithm to set the initial PID...

Kalman and PID controller are used to design UAV (Unmanned Air Vehicles) formation flight control system for speed and pitch angle. UAV adjusted the PID parameters to realize control stability of UAV flight. The simulation results will show that Kalman and PID controller have better dynamic performance than the traditional controller in respect of simpler design, higher precision, easier implem...

Abstract-This paper suggests an inverse optimal PID control design method for mechanical manipulators. We find the Lyapunov function and the control law satisfying the disturbance input-to-state stability by using the characteristics of Lagrange system. Also, we show that the inverse optimal PID controller satisfies the HamiltonJacobi-Isaacs equation. Hence, the inverse optimality of the closed...