2-DOF Observer Based Controller for Integral Process with Dead Time using PSO
نویسندگان
چکیده
This paper presents a design methodology for two degrees of freedom (2-DOF) observer based controller for the integral processes with dead time. The 2-DOF controller structure facilitates independent design for feedback properties and set point tracking. The feedback controller aims to achieve stability, robustness and disturbance attenuation whereas prefilter design produces satisfactory set point response. In the approach presented here, the feedback controller and prefilter designs are posed as optimization problems which are solved using particle swarm optimization (PSO). Feedback controller design is based on H∞ theory using objective function which is H∞ norm of the mixed sensitivity. Fixed structure polynomial controller is taken as feedforward controller. The parameters of the feedforward controller are designed by solving a model matching problem assuming a reference model. The objective function taken for that is Integral Square Error (ISE). Three design examples are worked out to show the efficiency of the design approach.
منابع مشابه
2-DOF Observer Based Controller for First Order with Dead Time Systems
This paper realized the 2-DOF controller structure for first order with time delay systems. The co-prime factorization is used to design observer based controller K(s), representing one degree of freedom. The problem is based on H∞ norm of mixed sensitivity and aims to achieve stability, robustness and disturbance rejection. Then, the other degree of freedom, prefilter F(s), is formulated as fi...
متن کاملRobust H_∞ Controller design based on Generalized Dynamic Observer for Uncertain Singular system with Disturbance
This paper presents a robust ∞_H controller design, based on a generalized dynamic observer for uncertain singular systems in the presence of disturbance. The controller guarantees that the closed loop system be admissible. The main advantage of this method is that the uncertainty can be found in the system, the input and the output matrices. Also the generalized dynamic observer is used to est...
متن کاملPSO Based Optimization of a PID Controller for a Linear Tank Level Control Process
Automatic control has played a vital role in the evolution of engineering and science. It is also important in such industrial operations as controlling temperature, pressure, humidity, flow and level in the process. This paper focus on the development and implementation of an intelligent optimization to obtain a optimum PID controller settings for level control process in cylindrical tank. Sys...
متن کاملOptimizing control motion of a human arm With PSO-PID controller
Functional electrical stimulation (FES) is the most commonly used system for restoring function after spinal cord injury (SCI). In this study, we used a model consists of a joint, two links with one degree of freedom, and two muscles as flexor and extensor of the joint, which simulated in MATLAB using SimMechanics and Simulink Toolboxes. The muscle model is based on Zajac musculotendon actuator...
متن کاملDesigning an adaptive fuzzy control for robot manipulators using PSO
This paper presents designing an optimal adaptive controller for tracking control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been employed to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance criteria. In this paper, an improved PSO using logic is proposed to increase the convergenc...
متن کامل