A new software tool for design of linear compensators

Nassirharand, Amir

doi:10.1016/j.advengsoft.2007.01.006

Cited by 10 publications

(3 citation statements)

References 13 publications

(12 reference statements)

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“…designing a DC motor speed controller with continuous time based on system theory concepts was presented in [19]. Nassirharand (2008) developed an educational software for designing linear compensators based on the Youla parameterization technique and an exact model matching criterion [20].…”

Section: S Rusu and L Grama 2008 A Simple Technique Formentioning

confidence: 99%

A Review of Transient and Steady State Response of DC Motor Position Control

Sao¹,

Singh²

2015

IJERT

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The goal of this project is to design an electric drive with a dc motor, with the required angular position controlled in two regimes in the given desired reference command signal. In our practical world we have to use a lot of controlling process in industry or any engineering section. So, it does vary initiative attempt to design a control drive in corresponding to our practical field. Modern manufacturing systems are automated machines that perform the required tasks. The electric motors are perhaps the most widely used energy converters in the modern machine-tools and robots. These motors require automatic control of their main parameters (position, speed, acceleration, currents). In this case the project is representation of a work on the control drive design. Here, focusing control based on the position and various method (root locus, state space, PID and frequency control method) was using to designing this position control drive. And all the designing was related with the DC motor .For using in the practical field, this project used the real world catalog value. DC motor system, the use of MATLAB for comprehensive study of analysis, performance and position control design methods has been demonstrated.

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Section: S Rusu and L Grama 2008 A Simple Technique Formentioning

confidence: 99%

A Review of Transient and Steady State Response of DC Motor Position Control

Sao¹,

Singh²

2015

IJERT

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“…The design equation developed in the Appendix (which is based on a factorization approach) is used to design the controller. The MATLAB function developed in Nassirharand (2007) which automated the execution of the developed design equation is utilized and the following controller is designed: Equation 13 Step 5. Finally, the design is verified.…”

Section: Demonstration Example Problemmentioning

confidence: 99%

Control system design of multivariable non‐linear space robots

Nassirharand

2008

Aircraft Engineering and Aerospace Technology

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PurposeThe paper's purpose is to initiate an effort that will result in a systematic approach for design of control systems for multivariable, nonlinear, and unstable space robots.Design/methodology/approachThe design approach is based on multivariable describing function (DF) models of the space robot coupled with the use of factorization technique. The design approach is to obtain the multivariable DF models followed by application of a previously developed factorization‐based controller design formula. Finally, the design must be verified by a non‐linear simulation to make sure that approximations made during design are valid.FindingsIt is found that the DF approach may successfully be applied in order to control nonlinear, multivariable, and unstable systems such as space robots.Research limitations/implicationsAt present, the approach is verified to be applicable to rigid space robots.Practical implicationsThe major outcome of this research is that complicated controllers of a class of space robots may be replaced by simpler controllers, taking into account the amplitude dependency features of the space robot; this amplitude dependency is the most important characteristic of a non‐linear system.Originality/valueThis is the first paper in the area of multivariable and unstable space robot controller design that is based on the application of the DF technique. In fact this is the first work in the area of general unstable non‐linear control system design that is based on a DF technique.

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“…Panda and Padhy (2007) used the genetic algorithm optimization technique to design thyristor controlled series compensator-based controller to enhance the power system stability [6]. Nassirharand (2008) developed an educational software utility for designing linear compensators based on the Youla parameterization technique and an exact model matching criterion [7]. Wang (2009) provided an approach for phase-lead/lag compensators to achieve the desired specifications of gain and phase margins for all-pole stable plant with time-delay [8].…”

Section: Introductionmentioning

confidence: 99%