Frequency Domain Design of Fractional Order PID Controller for AVR System Using Chaotic Multi-objective Optimization
arXiv:1306.3682 · doi:10.1016/j.ijepes.2013.02.021
Abstract
A fractional order (FO) PID or FOPID controller is designed for an Automatic Voltage Regulator (AVR) system with the consideration of contradictory performance objectives. An improved evolutionary Non-dominated Sorting Genetic Algorithm (NSGA-II), augmented with a chaotic Henon map is used for the multi-objective optimization based design procedure. The Henon map as the random number generator outperforms the original NSGA-II algorithm and its Logistic map assisted version for obtaining a better design trade-off with an FOPID controller. The Pareto fronts showing the trade-offs between the different design objectives have also been shown for both the FOPID controller and the conventional PID controller to enunciate the relative merits and demerits of each. The design is done in frequency domain and hence stability and robustness of the design is automatically guaranteed unlike the other time domain optimization based controller design methods.
26 pages, 9 figures
References in corpus (2)
Cited by in corpus (8)
- Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO
- Kriging based Surrogate Modeling for Fractional Order Control of Microgrids
- Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization
- Performance Comparison of Optimal Fractional Order Hybrid Fuzzy PID Controllers for Handling Oscillatory Fractional Order Processes with Dead Time
- On the Mixed H2/H-infinity Loop Shaping Trade-offs in Fractional Order Control of the AVR System
- Multi-objective LQR with Optimum Weight Selection to Design FOPID Controllers for Delayed Fractional Order Processes
- Performance Analysis of Robust Stable PID Controllers Using Dominant Pole Placement for SOPTD Process Models
- Small-Signal Stability Techniques for Power System Modal Analysis, Control, and Numerical Integration