Model predictive control: theory and practice—a survey
Automatica (Journal of IFAC)
Speed-sensorless nonlinear predictive control of a squirrel cage motor
WSEAS Transactions on Systems and Control
Multiple modeling and fuzzy predictive control of a tubular heat exchanger system
WSEAS Transactions on Systems and Control
PSO based predictive nonlinear automatic generation control
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
On the computation of all global minimizers through particle swarm optimization
IEEE Transactions on Evolutionary Computation
Modified cuckoo search algorithm for unconstrained optimization problems
ECC'11 Proceedings of the 5th European conference on European computing conference
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This paper presents a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) scheme applied to Automatic Generation Control (AGC) systems. The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is taken incorporating Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. Two interconnected area AGC system excluding nonlinearity is also studied. The simulation results draw several comparisons to preceding literature showing significant improvements and signifying the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying power demands, different GRC values and parameter variations