Automated Synthesis of Fixed Structure QFT Controller Using Interval Constraint Satisfaction Techniques
نویسندگان
چکیده
Robust controller synthesis is of great practical interest and its automation is a key concern in control system design. Automatic controller synthesis is still a open problem. In this paper a new, efficient method has been proposed for automated synthesis of a fixed structure quantitative feedback theory (QFT) controller by solving QFT quadratic inequalities of robust stability and performance specifications. The controller synthesis problem is posed as interval constraint satisfying problem (ICSP) and solved with interval constraint solver. The method is guaranteed to find all feasible controllers of given structure in the search domain. The proposed method is tested on two benchmark problems, and simple, low order controllers are successfully obtained in quick time.
منابع مشابه
Synthesis of Fractional-order QFT Controllers using Interval Constraint Satisfaction Technique
A method is proposed for automatic synthesis of quantitative feedback theory (QFT) based robust fractional-order controllers. The problem of QFT controller synthesis is formulated as an interval constraint satisfaction problem, where the nonlinear and non-convex robust stability and tracking bound specifications form the constraints. The problem is solved using the branch and prune algorithm. A...
متن کاملOnline Implementation of a Robust Controller using Hybrid Global Optimization Techniques
In this work, we report the experimental implementation of a Quantitative Feedback Theory (QFT) based robust controller, designed online using hybrid global optimization and constraint propagation techniques. The hybrid global optimization combines interval global optimization and nonlinear local optimization methods. The constraint propagation techniques are very effective in discarding infeas...
متن کاملRobust controller and pre-filter design using QFT and interval constraint techniques
Robust control system design for uncertain systems (aka “plants”) is of great practical interest, and their automation is a key concern in the control community [1]. In the last few decades, several robust control methodologies in time as well as frequency domains have been proposed (cf. [1]). Quantitative Feedback Theory (QFT) [2] is a one such frequency-domain controller design technique base...
متن کاملRobust explicit MPC design under finite precision arithmetic
We propose a design methodology for explicit Model Predictive Control (MPC) that guarantees hard constraint satisfaction in the presence of finite precision arithmetic errors. The implementation of complex digital control techniques, like MPC, is becoming increasingly adopted in embedded systems, where reduced precision computation techniques are embraced to achieve fast execution and low power...
متن کاملIntroduction to the special issue on constraint satisfaction for planning and scheduling
The areas of Artificial Intelligence planning and scheduling have seen important advances thanks to the application of constraint satisfaction models and techniques. Especially, solutions to many real-world problems need to integrate plan synthesis capabilities with resource allocation, which can be efficiently managed by using constraint satisfaction techniques. Constraint satisfaction plays a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008