2016 · 11 citations · 11 references
EngineeringMechanical EngineeringRobotics EngineeringOptimizationRobot ControlRoboticsControl Of Dynamical SystemsControl SystemsControl TheoryController DesignController TuningMotion ControlControl TuningFractional-order ControlFractional-order Controller TuningLinear Quadratic RegulatorLinear-quadratic ControlParticle Swarm ControlParticle Swarm OptimizationPid Tuning
In this paper, a simulated study of three different control strategies; Linear Quadratic Regulator (LQR), Integer order PID and Fractional order PID (FOPID), is performed in order to stabilize an inverted pendulum on a cart. First, a nonlinear model of the cart-pendulum system is presented which is used later in the simulations. The tuning parameters of all three controllers are obtained using the Particle Swarm Optimization (PSO) technique, with the Integral of the Squared Error (ISE) index as fitting function and employing a unit step as reference. The simulation results, when applying a unit step reference (same as in the PSO tuning process), show a better performance for the FOPID when using the cost function of the LQR as performance index. However, in a more general case of a sequence of step references, the LQR exhibits a better behavior.
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James Kennedy, R.C. Eberhart · 2002 · 47.5K citations
Swinging up a pendulum by energy control
Karl Johan Åström, K. Furuta · Automatica · 2000 · 909 citations