This paper, firstly in accordance with the engineering design method, PID controller are used to control the current loop and speed loop common on double closed-loop DC converter, and build dual-loop PID control model, and Matlab’s emulation to model, as well as analysis and evaluate the structural of the simulation. Because conventional PID control can not meet the parameters of the controlled...

Most of the proportional-integral-derivative (PID) controller tuning methods reported in literature are based on the approximate plant models (FOPDT or SOPDT models) derived from the step response of the plant. In this paper, a new method of designing PID controllers using ‘impulse response’ instead of ‘step response’ of the plant is presented. Treating the impulse response of the plant as a st...

This paper presents a novel method of PID controller tuning suitable for higher-order aperiodic processes and aimed at step response-based auto-tuning applications. The PID controller tuning is based on the identification of so-called n-th order lag (PTn) process model and application of damping optimum criterion, thus facilitating straightforward algebraic rules for the adjustment of both the ...

This paper suggests an auto-tuning method of PID trajectory tracking controller for robotic manipulators. In general, the PID trajectory tracking controller for mechanical systems shows the performance limitation. Since the control system including performance limitation can not have equilibrium points, we define newly the quasi-equilibrium region as an alternative for equilibrium point. Also, ...

The performance of self-tuning and a variety of conventional control strategies are examined when applied to the overhead product composition control of a packed distillation column. These control strategies are tested under various sets of conditions on a packed distillation column situated B.P. Chemicals, South Wales, U.K. Conventional PID control action is employed throughout-being considere...

Many areas in power systems require solving one or more nonlinear optimization problems. Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. This paper presents a detailed overview of the basic concepts of PSO and its variants. The proposed method utilizes the Particle Swarm Optimization (PSO) algor...

In this paper, an aircraft roll control system for an autopilot that controls the roll angle motion of an aircraft is modeled and simulated using MATLAB/ Simulink. As the roll angle motion is a lateral directional motion, the mathematical model is derived [1]. The control system considered for this roll angle control is PID controller. In this work the PID controller for the roll transfer funct...

Today many aircraft control systems and process control industries are employing classical controller such as Proportional Integral Derivative Controller (PID) to improve the system characteristics and dynamic performance. To improve the stability analysis and system performance of an aircraft, PID controller is employed in this paper. The safety of flight envelope can be improved by tuning par...

In this paper, we propose a robust self-tuning PID controller suitable for nonlinear systems. The control system employs a preload relay (P Relay) in series with a PID controller. The P Relay ensures a high gain to yield a robust performance. However, it also incurs a chattering phenomenon. In this paper, instead of viewing the chattering as an undesirable yet inevitable feature, we use it as a...

Due to its extensive use for motion control systems in industry, tuning of the proportional-integral-derivative (PID) controller parameters has been the focus of intensive research. In this paper, a novel tuning method for the parameters of PID controller based speed control of DC motor using genetic algorithm (GA) is proposed. The main advantage of the proposed method is that the mathematical ...