Simple Analytic Proportional-Integral-Derivative (PID) Controller Tuning Rules for Unstable Processes

2013 ◽  
Vol 53 (13) ◽  
pp. 5048-5054 ◽  
Author(s):  
Wonhui Cho ◽  
Jietae Lee ◽  
Thomas F. Edgar
Keyword(s):  
Pid Controller ◽  
Proportional Integral Derivative ◽  
Controller Tuning ◽  
Proportional Integral ◽  
Pid Controller Tuning ◽  
Unstable Processes ◽  
Tuning Rules

scholarly journals Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
V. Rajinikanth ◽  
K. Latha
Keyword(s):  
Real Time ◽  
Pid Controller ◽  
Nonlinear Process ◽  
Process Models ◽  
Proportional Integral Derivative ◽  
Controller Tuning ◽  
Spherical Tank ◽  
Pid Controller Tuning ◽  
Tank System ◽  
Tuning Methods

An enhanced bacteria foraging optimization (EBFO) algorithm-based Proportional + integral + derivative (PID) controller tuning is proposed for a class of nonlinear process models. The EBFO algorithm is a modified form of standard BFO algorithm. A multiobjective performance index is considered to guide the EBFO algorithm for discovering the best possible value of controller parameters. The efficiency of the proposed scheme has been validated through a comparative study with classical BFO, adaptive BFO, PSO, and GA based controller tuning methods proposed in the literature. The proposed algorithm is tested in real time on a nonlinear spherical tank system. The real-time results show that, EBFO tuned PID controller gives a smooth response for setpoint tracking performance.

On-line PID controller tuning for open-loop unstable processes

2000 ◽  
Vol 33 (20) ◽  
pp. 25-32
Author(s):  
K.G. Arvanitis ◽  
N.A. Sigrimis ◽  
G.D. Pasgianos ◽  
G. Kalogeropoulos
Keyword(s):  
Pid Controller ◽  
Open Loop ◽  
Controller Tuning ◽  
Pid Controller Tuning ◽  
On Line ◽  
Unstable Processes
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