The concept of PID controllers (proportional integral derivative) belongs to the most frequently used principles of controlling in industrial and non-industrial applications. The process of setting of PID controller can be determined as optimization task. Requiring optimal settings of PID controller we can specify more goals of optimization which are often contradictory. Optimal setting of PID controller is generally task of nonlinear mathematic optimization which is furthermore done on top of dynamic system. In this paper shall be shown multi-criterion optimization of PID controller setting of two systems using soft computing optimization method HC12. To be correct the solution shall be compared with classic method of nonlinear optimization based on Nelder- Mead method and also shall be shown solution of PID controller using classic methods Zigler Nichols and Modulus Optimum.
[1]
H. T,et al.
The future of PID control
,
2001
.
[2]
Ivan Zelinka,et al.
Synthesis of control rule for synthesized chaotic system by means of evolutionary techniques
,
2010
.
[3]
Robert Grepl,et al.
Development of 4WS/4WD Experimental Vehicle: platform for research and education in mechatronics
,
2011,
2011 IEEE International Conference on Mechatronics.
[4]
Jitka Dupa.
MELT CONTROL � CHARGE OPTIMIZATION VIA STOCHASTIC PROGRAMMING
,
2006
.
[5]
Natalio Krasnogor,et al.
Nature‐inspired cooperative strategies for optimization
,
2009,
Int. J. Intell. Syst..
[6]
GAHC: Hybrid Genetic Algorithm
,
2009
.
[8]
Jan Roupec,et al.
ADVANCED GENETIC ALGORITHMS FOR ENGINEERING DESIGN PROBLEMS
,
2010
.
[9]
Radomil Matousek.
GAHC: Improved Genetic Algorithm
,
2007,
NICSO.