This study examines the stability and efficiency of a generator with a pendulum-inertial cone-shaped rotor using permanent and variable magnets under pulse control and increased electrical load. The research was conducted to determine how pulsed energy input and different magnetic configurations influence rotor stability, angular velocity fluctuations, and energy conversion efficiency, especially near critical load resistance. A mathematical model was developed that incorporates rotational dynamics, magnetic interactions, pulsed disturbances, friction losses and electrical load. Numerical simulations using Python and NumPy evaluated the behaviour of angular velocity, induced EMF, current and accumulated energy across varying rotor masses, geometric parameters, pulse amplitudes and load resistances. Special attention was given to pulse-feeding modes activated when rotor speed decreases. The results show that adaptive pulsed pumping and variable magnets enhance stability and prolong efficient operation under high loads. These findings support the design of autonomous and energy-efficient generator systems with nonlinear mechanics and intelligent control.