A genetic-multivariable fractional order PID control to multi-input multi-output processes |
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| Affiliation: | 1. Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;2. Advanced Control Systems Lab, Electrical Engineering Department, Sharif University of Technology, Tehran 11155-4363, Iran;1. Department of Informatics, Agrifood Campus of International Excellence ceiA3, CIESOL Research Center on Solar Energy, University of Almería, 04120 Almería, Spain;2. Department of Automatic Control, Lund University, Box 118, SE-22100 Lund, Sweden;1. State Key Lab of Power Systems, Department of Thermal Engineering, Tsinghua University, Beijing 100084, PR China;2. Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA |
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| Abstract: | A multivariable fractional order PID controller is designed and to get suitable coefficients for the controller, a genetic algorithm with a new topology to generate a new population is proposed. The three parts of the genetic algorithm such as reproduction, mutation, and crossover are employed and some variations in the methods are fulfilled so that a better performance is gained. The genetic algorithm is applied to design FOPID controllers for a multivariable process and the results are compared with the responses of a H∞ based multivariable FOPID controller. The simulation responses show that in all cases, the genetic-multivariable FOPID controller has suitable performance, and the output of the system has a smaller error. Also, in the proposed method, variations in one output have a smaller effect on another output which is shown the ability of the proposed method to overcome the interaction in the multivariable processes. |
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| Keywords: | Multivariable fractional order PID controller Multivariable process control Genetic FOPID controller Multivariable genetic-FOPID-process control |
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