Robust PID Automated QFT Controller Design Approach for a FOLPD Model with a Minimal Dead Time
This paper presents the design of a robust PID controller for FOLPD model (First Order Lag Plus Delay) using Particle Swarm Optimization (PSO) enabled automated Quantitative Feedback Theory (QFT). The plant model considered here can be approximated as first order system with a nonminimum phase (NMP) zero. Synthesis of controller for the FOLPD model via manual graphical technique involved in QFT method is always a challenging and cumbersome task, because a NMP system stabilizes by a small gain. In the present contribution, a proposal is being presented to automate the loop shaping phase in QFT design method to synthesize a robust controller that can undertake the exact amount of plant uncertainty even in the presence of larger uncertainties than those assumed initially and can ensure a proper trade off between robust stability specifications and tracking performance specifications over the entire range of frequencies. In this article the PSO technique has been employed to tune the controller automatically that can greatly reduce the computational effort compared to manual graphical techniques. It has also been demonstrated that this methodology not only automates loop-shaping but also improves design quality and, most usefully, improves the quality with a perfectly tuned PID controller in quantitative manner.
FOLPD Model NMP System Quantitative Feedback Theory Particle Swarm Optimization.
B.Satpati S Chatterjee S Datta C Koley
E E DeptU I T ,B U ,Burdwan ,WB E E DeptU I T ,B U ,Burdwan,WB M E DeptU I T ,B U ,Burdwan ,WB E E Dept N I T , Durgapur,WB
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
1127-1132
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）