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Invasive weed optimization (IWO) has been found to be a simple but powerful algorithm for function optimization over continuous spaces. It has reportedly outperformed many types of evolutionary algorithms and other search heuristics when tested over both benchmark and real-world problems. This article describes the design of fractional-order proportional-integral-derivative (FOPID) controllers, using...
For a multi-input multi-output (MIMO) system a set of stabilizing proportional derivative (PD) controllers was designed for each decoupled subsystem. The design approach is based on generalized result of the classical Hermite Biehler theorem. Stability analysis of the composite system with the designed set of decoupled controller parameter is studied via LMI framework. A genetic algorithm based search...
An integrated flight control system is designed according to the six DOF nonlinear model of pitching channel of hypersonic vehicle X-43A. The system is composed of one fuzzy controller and two PD controllers. Based on genetic algorithm, the optimization process of fuzzy control rules and PD feedback parameters is carried out automatically without expertspsila knowledge and training data in advance...
Considering the pitching channel of air breathing hypersonic vehicle X-43A as plant, flight control system was designed according to the 6 degree of freedom nonlinear model. The flight control system includes two loops, of which the structure is conventional mode. The guidance loop is a PD controller, while the control loop is composed of two fuzzy logic controllers. The guidance loop leads the vehicle...
PID control schemes still continue to be widely used for most industrial control systems. This is mainly because PID controllers have simple control structures, and are simple to maintain and tune. However, it is difficult to find a set of suitable control parameters in the case of time-varying and/or nonlinear systems. For such a problem, the robust controller has been proposed. Although it is important...
Nonlinear active disturbance rejection controller (ADRC) tuning problem is investigated based on synthesis optimization method which including intelligent optimization method-NSGA_II and The typical nonlinear least square method-Levenberg-Marqudart algorithm. Based on multi-objective optimizing algorithm-NSGA_II the parameters of extended state observer is tuned. Nonlinear least square method is adopted...
PID control schemes still continue to be widely used for most industrial control systems. This is mainly because PID controllers have simple control structures, and are simple to maintain and tune. However, it is difficult to find a set of suitable control parameters in the case of time-varying and/or nonlinear systems. For such a problem, the robust controller has been proposed. Although it is important...
In this paper, a gain-adjusted fuzzy PI/PD (GFPIPD) adaptive controller is proposed. The proposed controller first constructs fuzzy rules for fuzzy PD/PI controller with the fixed weighting. Then the fuzzy rules, which self-learning their parameters for a desired condition, are learned through the accumulated GA. Finally, fuzzy gain-adjusted mechanism is further learned through the accumulated GA...
We propose a fuzzy PI-PD controller that is tuned by using genetic algorithm (GA). The fuzzy PI-PD controller preserves the linear structure of the conventional one, but has self-tuned gains. The proportional, integral and derivative gains are nonlinear functions of their input signals having certain adaptive capability in set-point tracking performance. The proposed design is then optimized using...
The design methods of fuzzy logic controllers (FLCs) using the genetic/evolutionary algorithms (GEAs) are appearing as systematic methods. These methods easily provide an optimized design and form the framework for further progress. This paper describes the design of P-, PI-, PD-, PID-like FLCs based on theoretical fuzzy concepts and genetic-based optimization. In Pi-like FLC, the most important feature...
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