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- W2030758431 abstract "In this paper, an improved particle swarm optimization is presented to search for the optimal PID controller gains for a class of nonlinear systems. The proposed algorithm is to modify the velocity formula of the general PSO systems in order for improving the searching efficiency. In the improved PSO-based nonlinear PID control system design, three PID control gains, i.e., the proportional gain Kp, integral gain Ki, and derivative gain Kd are required to form a parameter vector which is called a particle. It is the basic component of PSO systems and many such particles further constitute a population. To derive the optimal PID gains for nonlinear systems, two principle equations, the modified velocity updating and position updating equations, are employed to move the positions of all particles in the population. In the meanwhile, an objective function defined for PID controller optimization problems may be minimized. To validate the control performance of the proposed method, a typical nonlinear system control, the inverted pendulum tracking control, is illustrated. The results testify that the improved PSO algorithm can perform well in the nonlinear PID control system design." @default.
- W2030758431 created "2016-06-24" @default.
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- W2030758431 date "2010-11-01" @default.
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- W2030758431 title "PID controller design of nonlinear systems using an improved particle swarm optimization approach" @default.
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- W2030758431 doi "https://doi.org/10.1016/j.cnsns.2010.01.005" @default.
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