**A design method of multirate I-PD controller based on multirate generalized predictive control law**

This paper proposes a new design method of an

**I-PD**controller. The I-PD controller is designed in a multirate system with fast control input and slow output sampling. In order to design

**PID**parameters of the multirate I-PD controller, the multirate I-PD controller is designed based on a multirate generalized predictive control law. Since in the multirate system a control input is updated faster than a single-rate system with slow control input and slow output sampling, the control effect of the proposed multirate I-PD controller is greater than that of a conventional single-rate one. Finally in order to show effectiveness of the proposed method, simulation results are illustrated.

http://cat.inist.fr/?aModele=afficheN&cpsidt=17893327

**An Adaptive Controller based on system Identification for plants with**

uncertainties using well known Tuning formulas

Abstract

uncertainties using well known Tuning formulas

Abstract

Adaptive control which adequately adjusts controller

gains according to the changes in plants, has become

attractive in recent years .The

**controller**proposed in this

paper is tuned automatically with various tuning formulas

based on the results of frequency domain system

identification for the plant. The controller first estimates

the frequency response of the plant using

**FFT**. The

controller gains are automatically tuned so as to minimize

the error between the open loop frequency response of

the reference model and that of the actual system at a few

frequency points. For the three example processes,

reference models are derived. The frequency responses

of the reference models and that of the actual processes

are obtained. The controller gains are determined by

applying the least squares algorithm .The responses of

the plants are verified in time domain and frequency

domain after tuning the

**I-PD**

**controller**.

**Block diagram of an I-PD controller along with process**

plant

plant

http://www.icgst.com/acse/Volume6/Issue3/P1110626005.pdf

**PI-D and I-PD Control with Dynamic Prefilters**

In this lab you will be controlling the one degree of freedom systems you previously modeled using

**PI-D**and

**I-PD**controllers with and without dynamic prefilters.

the I-PD controller we have

http://www.rose-hulman.edu/Class/ee/throne/ECE-320%20Fall%202009/lab7a.pdf

**DESIGN OF ROBUST POLE ASSIGNMENT BASED ON**

PARETO-OPTIMAL SOLUTIONS

ABSTRACT

PARETO-OPTIMAL SOLUTIONS

ABSTRACT

In this paper, a new design method for robust pole assignment based on

Pareto-optimal solutions for an uncertain plant is proposed. The proposed design

method is defined as a two-objective optimization problem in which optimization

of the settling time and damping ratio is translated into a pole assignment

problem. The uncertainties of the plant are represented as a polytope

of polynomials, and the design cost is reduced by using the edge theorem.

The genetic algorithm is applied to optimize this problem because of its

multiple search property. In order to demonstrate the effectiveness of the

proposed design method, we applied the proposed design method to a magnetic

levitation system.

**I-PD control system**

http://www.ajc.org.tw/pages/PAPER/5.2PD/PI-01-22.pdf

**Study on the I-PD Position Controller Design for Linear Pulse Motor DrivesABSTRACT**

In this paper, a brief discussion on I-PD position controller design for linear pulse motor drive is presented. The proposed method mainly focuses on the robusteness property of the controller, which is very important for this type of system in which the variation of external load affects plant parameters. It is considered in this paper that two types of controller design methods namely; Coefficient Diagram Method (CDM), and arbitrary Pole Assignment Method (PAM) are treated and compared them. It is shown in this paper that for the case of CDM, a stability index values are chosen such that the robust property of the controller is adequately sufficient for light and heavy load operation without excessively exciting the motor. For these stability index values and an equivalent time constant, which determines the speed of responese of the system, the closed loop pole locations are automatically fixed. For the case of PAM, the closed loop pole assignments must be iteratively tried to arrive at an acceptable response.

http://nels.nii.ac.jp/els/110000031056.pdf?id=ART0000357399&type=pdf&lang=en&host=cinii&order_no=&ppv_type=0&lang_sw=&no=1260926777&cp=

**PID EBook**