The purpose of the present study is to address the half-vehicle nonlinear suspension control using PSO-based fuzzy gain scheduling
of PID controllers so that the gains of PID controllers can be scheduled in the course of operation through the application of an intelligent FLC while the fuzzy rules are optimized in the search space of error and derivate of error via a metaheuristic population-based PSO algorithm.
To satisfy the power flow control with variable switching frequency, the gain scheduling
technique will be given.
method is a common used controller design approach for nonlinear systems.
Yu, "Nonlinear optimal control of helicopter using fuzzy gain scheduling
," in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp.
In the gain scheduling
state feedback integral controller, the integral action is introduced to address the nonzero disturbance and the scheduling strategy but it has the lack of derivative action .
The first edition was published in 2007, and this second includes new chapters on gain scheduling
, fuzzy modeling, and demonstration examples.
linear controller was proposed to improve the control performance in the whole operation range [4, 6-8].
Alternative approaches include the linearization of the vehicle error dynamics around trajectories that lead to a time-invariant linear system (also known as trimming trajectories) combined with gain scheduling
and/or linear parameter varying (LPV) design methodologies [3-5].
That is why, in such a case we propose to synthesize the model control loop with an adaptive, gain scheduling
controller and a nonlinear model of the process.
 used a fuzzy logic gain scheduling
algorithm with proportional-integral (PI) controllers which are used with power-split HEV (PSHEV).
Additionally, we implemented highspeed adaptive control algorithms on the real-time system, including gain scheduling
of control parameters and amplitude/offset adjustment, in addition to the PI control running on the FPGA.
It goes into further detail on common control terms such as loop tuning; autotuning; gain scheduling
; and adaptive control.