Implementation of fixed structure QFT prefilter synthesised using interval constraint satisfaction techniques

Simultaneous automated design of structured QFT controller and prefilter using nonlinear programming

“…Example Consider the standard QFT problem DC motor defined by with uncertainty domains a ∈[1,10] and k P ∈[1,10], and frequency samples ω = {0.1,0.5,1,2,15,100}. Furthermore, with design domains k G ∈[0.1,100], z 1 ∈[0.1,50], p i ∈[0.1,1000], q i ∈[0,100].…”

“…Automatic loop‐shaping technique can be classified into two main categories: Based on optimization algorithm such as convex and non‐convex optimization (see, e.g., ). Based on constraint satisfaction approach that gives dense set of controllers from which the desired solution can be chosen (see, e.g., ). …”

“… proposed optimization‐based algorithm for the design of robust controller using Commande Robuste d'Ordre Non Entier structure. Recently, several researchers have attempted to automate the prefilter synthesis step for SISO system . Nataraj and Tharewal formulated the problem as the parametric optimization of a fixed structure integer‐order prefilter using global optimization.…”

Design of robust fractional-order controllers and prefilters for multivariable system using interval constraint satisfaction technique

“…Traditionally, this synthesis was done manually by the designer, relying on experience and skill. Recently, several researchers have attempted to automate this step for SISO system, see, for instance [26][27][28]. Nataraj and Tharewal [28] formulated the problem as one of parameter optimization of a fixed structure integer-order (IO) prefilter using global optimization.…”

“…However, the method does not find all feasible prefilters of a specified structure. Nataraj and Deshpande proposed Interval Constraint Satisfaction Technique (ICST) based approach for automated synthesis of fixed structure IO QFT prefilter [26,27,29]. Patil et al [30] proposed ICST based approach for the design of FO QFT prefilter for SISO system.…”